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github | jacksky64/imageProcessing-master | namenpath.m | .m | imageProcessing-master/Matlab Code for Computer Vision/Misc/namenpath.m | 921 | utf_8 | 2f308fc4b71683904c79d16a0a402c8e | % NAMENPATH Returns filename and its path from a full filename
%
% Usage: [name, pth] = namenpath(fullfilename)
%
% Argument: fullfilename - filename specifier which may include directory
% path specification
%
% Returns: name - The filename without directory path specification
% ... |
github | jacksky64/imageProcessing-master | rgb2cmyk.m | .m | imageProcessing-master/Matlab Code for Computer Vision/Misc/rgb2cmyk.m | 1,000 | utf_8 | 21df7ae00f80e81c2fb8577985fd5f65 | % RGB2CMYK - Basic conversion of RGB colour table to cmyk
%
% Usage: cmyk = rgb2cmyk(map)
%
% Argument: map - N x 3 table of RGB values (assumed 0 - 1)
% Returns: cmyk - N x 4 table of cmyk values
%
% Note that you can use MATLAB's functions MAKECFORM and APPLYCFORM to
% perform the conversion. However I find... |
github | jacksky64/imageProcessing-master | removenan.m | .m | imageProcessing-master/Matlab Code for Computer Vision/Misc/removenan.m | 1,057 | utf_8 | 69d193c99b44b881024b4b92777413b4 | % REMOVENAN - removes NaNs from an array
%
% Usage: m = removenan(a, defaultval)
%
% a - The matrix containing NaN values
% defaultval - The default value to replace NaNs
% if omitted this defaults to 0
%
% See Also: FILLNAN
% Copyright (c) 2004 Peter Kovesi
% School of Computer Science & ... |
github | jacksky64/imageProcessing-master | rectintersect.m | .m | imageProcessing-master/Matlab Code for Computer Vision/Misc/rectintersect.m | 605 | utf_8 | 2f251c6700fc7ac087c802341994cf69 | % RECTINTERSECT - Returns true if rectangles intersect
%
% Usage: intersect = rectintersect(r1, r2)
%
% Arguments: r1, r2 - The two rectangles to be tested where the
% rectangles are defined following the MATLAB
% convention of [left bottom width height]
%
% See also: RECTA... |
github | jacksky64/imageProcessing-master | togglefigs.m | .m | imageProcessing-master/Matlab Code for Computer Vision/Misc/togglefigs.m | 3,177 | utf_8 | fa815dc34f1c5f91ce9a79d45915bca9 | % TOGGLEFIGS Convenient switching between figures to aid comparison
%
% Usage 1: togglefigs
%
% Use arrow keys to index through figures that are currently being displayed, or
% enter single digit figure numbers to select figures directly.
% Hit ''X'' to exit.
%
% Usage 2: togglefigs(figs)
% Argument: figs - figur... |
github | jacksky64/imageProcessing-master | pointinconvexpoly.m | .m | imageProcessing-master/Matlab Code for Computer Vision/Misc/pointinconvexpoly.m | 2,515 | utf_8 | 2540c1eb544a1a7ed698bcd917996db6 | % POINTINCONVEXPOLY Determine if a 2D point is within a convex polygon
%
% Usage: v = pointinconvexpoly(p, poly)
%
% Arguments: p - 2D point.
% poly - Convex polygon defined as a series of vertices in
% sequence, clockwise or anticlockwise around the polygon as
% a 2 x N a... |
github | jacksky64/imageProcessing-master | geosofttbl2map.m | .m | imageProcessing-master/Matlab Code for Computer Vision/Misc/geosofttbl2map.m | 1,313 | utf_8 | 97f965db62a9a1ea1d2d5bccb32bd608 | % GEOSOFTTBL2MAP Converts Geosoft .tbl file to MATLAB colourmap
%
% Usage: geosofttbl2map(filename, map)
%
% Arguments: filename - Input filename of tbl file
% map - N x 3 rgb colourmap
%
%
% This function reads a Geosoft .tbl file and converts the KCMY values to a RGB
% colourmap.
%
% See als... |
github | jacksky64/imageProcessing-master | matscii.m | .m | imageProcessing-master/Matlab Code for Computer Vision/Misc/matscii.m | 3,441 | utf_8 | 58129d6167a995d9b76c9cce83edd57a | % MATSCII - Function to generate ASCII images
%
% Usage: picci = matscii(im, width, gamma, filename)
%
% im - 2D array of image brightness colours.
% Image can be grey scale or colour.
% width - desired width of resulting character image.
% gamma - optional gamma value to enhance contrast,
% ... |
github | jacksky64/imageProcessing-master | chirpexp.m | .m | imageProcessing-master/Matlab Code for Computer Vision/Misc/chirpexp.m | 1,971 | utf_8 | 9b0330d3aaf9432d3b2aa5f9322406b7 | % CHIRPEXP Generates exponential chirp test image
%
% The test image consists of an exponential chirp signal in the horizontal
% direction with the amplitude of the chirp being modulated from 1 at the top of
% the image to 0 at the bottom.
%
% Usage: im = chirpexp(sze, w0, w1, p)
%
% Arguments: sze - [rows cols] ... |
github | jacksky64/imageProcessing-master | geoseries.m | .m | imageProcessing-master/Matlab Code for Computer Vision/Misc/geoseries.m | 1,666 | utf_8 | 8235bdedc3251f7e5b688f27de734492 | % GEOSERIES Generate geometric series
%
% Usage 1: s = geoseries(s1, mult, n)
%
% Arguments: s1 - The starting value in the series.
% mult - The scaling factor between succesive values.
% n - The desired number of elements in the series.
%
% Usage 2: s = geoseries([s1 sn], n)
%
% Arg... |
github | jacksky64/imageProcessing-master | strstartswith.m | .m | imageProcessing-master/Matlab Code for Computer Vision/Misc/strstartswith.m | 704 | utf_8 | 7d481f98266b52e06c23ec8c2fc6265d | % STRSTARTSWITH - tests if a string starts with a specified substring
%
% Usage: b = strstartswith(str, substr)
%
% Arguments:
% str - string to be tested
% substr - starting string that we are hoping to find
%
% Returns: true/false. Note that case of strings is ignored
%
% See also: STRENDSWITH
% P... |
github | jacksky64/imageProcessing-master | cubicroots.m | .m | imageProcessing-master/Matlab Code for Computer Vision/Misc/cubicroots.m | 2,783 | utf_8 | 88bc63423a4c8bcc0d94d2848fa6be1f | % CUBICROOTS - finds real valued roots of cubic
%
% Usage: root = cubicroots(a,b,c,d)
%
% Arguments:
% a, b, c, d - coeffecients of cubic defined as
% ax^3 + bx^2 + cx + d = 0
% Returns:
% root - an array of 1 or 3 real valued roots
%
% Reference: mathworld.wolfram.com/CubicFormula.html
% ... |
github | jacksky64/imageProcessing-master | findimage.m | .m | imageProcessing-master/Matlab Code for Computer Vision/Misc/findimage.m | 1,030 | utf_8 | d22c0bf85ea1bee389ca4ca6abdc58f4 | % FINDIMAGE - invokes image dialog box for interactive image loading
%
% Usage: [im, filename] = findimage(disp, c)
%
% Arguments:
% disp - optional flag 1/0 that results in image being displayed
% c - optional flag 1/0 that results in imcrop being invoked
% Returns:
% im - image
%... |
github | jacksky64/imageProcessing-master | strendswith.m | .m | imageProcessing-master/Matlab Code for Computer Vision/Misc/strendswith.m | 1,172 | utf_8 | a53036600dfe2e1dfcf91ecf2909348b | % STRENDSWITH - tests if a string ends with a specified substring
%
% Usage: b = strendswith(str, substr)
%
% Arguments:
% str - string to be tested
% substr - ending of string that we are hoping to find.
% substr may be a cell array of string endings, in this case
% the fu... |
github | jacksky64/imageProcessing-master | viewlabspace.m | .m | imageProcessing-master/Matlab Code for Computer Vision/Misc/viewlabspace.m | 7,192 | utf_8 | cbfb89e9024d64a0fe77892badc56b0c | % VIEWLABSPACE Visualisation of L*a*b* space
%
% Usage: viewlabspace(dL)
%
% Argument: dL - Optional increment in lightness with each slice of L*a*b*
% space. Defaults to 5
%
% Function allows interactive viewing of a sequence of images corresponding to
% different slices of lightness in L*a*b* s... |
github | jacksky64/imageProcessing-master | circularstruct.m | .m | imageProcessing-master/Matlab Code for Computer Vision/Misc/circularstruct.m | 648 | utf_8 | aec494462bd52689db93faf1d6a9ea60 | % CIRCULARSTRUCT
%
% Function to construct a circular structuring element
% for morphological operations.
%
% function strel = circularstruct(radius)
%
% Note radius can be a floating point value though the resulting
% circle will be a discrete approximation
%
% Peter Kovesi March 2000
function strel = circularstruc... |
github | jacksky64/imageProcessing-master | supertorus.m | .m | imageProcessing-master/Matlab Code for Computer Vision/Shapes/supertorus.m | 2,444 | utf_8 | 91c1e7e27c0219d233582240dcb7c17e | % SUPERTORUS - generates a 'supertorus' surface
%
% Usage:
% [x,y,z] = supertorus(xscale, yscale, zscale, rad, e1, e2, n)
%
% Arguments:
% xscale, yscale, zscale - Scaling in the x, y and z directions.
% e1, e2 - Exponents of the x and y coords.
% rad - Mean radius of torus.... |
github | jacksky64/imageProcessing-master | superquad.m | .m | imageProcessing-master/Matlab Code for Computer Vision/Shapes/superquad.m | 2,798 | utf_8 | 2dfc95eb41c2bf03bb78f5f0bb8b7c07 | % SUPERQUAD - generates a superquadratic surface
%
% Usage: [x,y,z] = superquad(xscale, yscale, zscale, e1, e2, n)
%
% Arguments:
% xscale, yscale, zscale - Scaling in the x, y and z directions.
% e1, e2 - Exponents of the x and y coords.
% n - Number of subdivisions of logitude an... |
github | jacksky64/imageProcessing-master | gplot3d.m | .m | imageProcessing-master/Matlab Code for Computer Vision/Shapes/gplot3d.m | 3,051 | utf_8 | 023a1e53d0acecbb7ff057579a8854eb | function [Xout,Yout,Zout]=gplot3d(A,xyz,lc)
%GPLOT3D Plot graph, as in "graph theory".
% This is a modification of MATLAB's GPLOT function for vertices in 3D.
% GPLOT3D(A,xyz) plots the graph specified by A and xyz. A graph, G, is
% a set of nodes numbered from 1 to n, and a set of connections, or
% edges, betw... |
github | jacksky64/imageProcessing-master | icosahedron.m | .m | imageProcessing-master/Matlab Code for Computer Vision/Shapes/icosahedron.m | 3,196 | utf_8 | deced73cec8d737a7b03e362c983c1e5 | % ICOSAHEDRON Generates vertices and graph of icosahedron
%
% Usage: [xyz, A, F] = icosahedron(radius)
%
% Argument: radius - Optional radius of icosahedron. Defaults to 1.
% Returns: xyz - 12x3 matrix of vertex coordinates.
% A - Adjacency matrix defining connectivity of vertices.
% ... |
github | jacksky64/imageProcessing-master | geodome.m | .m | imageProcessing-master/Matlab Code for Computer Vision/Shapes/geodome.m | 7,596 | utf_8 | d70bca00571f6191c84ac6221a8de9b3 | % GEODOME Generates geodesic sphere
%
% Usage: [xyz, A, F] = geodome(frequency, radius)
%
% The sphere is generated from subdivisions of the faces of an icosahedron.
%
% Arguments:
% frequency - The number of subdivisions of each edge of an
% icosahedron. A frequency of 1 will give you a... |
github | jacksky64/imageProcessing-master | drawfaces.m | .m | imageProcessing-master/Matlab Code for Computer Vision/Shapes/drawfaces.m | 2,247 | utf_8 | 5c8a03943a5894a51836931271cbc606 | % DRAWFACES Draws triangular faces defined by vertices and face vertex lists
%
% Usage: drawfaces(xyz, F, col)
%
% Arguments:
% xyz - A nx3 matrix defining the vertex list, each row is the
% x,y,z coordinates of a vertex.
% F - A mx3 matrix defining the face list. Each r... |
github | jacksky64/imageProcessing-master | matchbymonogenicphase.m | .m | imageProcessing-master/Matlab Code for Computer Vision/Match/matchbymonogenicphase.m | 9,328 | utf_8 | e63225faedcf391fb6411d27d71a208e | % MATCHBYMONOGENICPHASE - match image feature points using monogenic phase data
%
% Function generates putative matches between previously detected
% feature points in two images by looking for points that have minimal
% differences in monogenic phase data within windows surrounding each point.
% Only points that corre... |
github | jacksky64/imageProcessing-master | matchbycorrelation.m | .m | imageProcessing-master/Matlab Code for Computer Vision/Match/matchbycorrelation.m | 7,076 | utf_8 | 12d7e8d4ad6e140c94444ddc3682d518 | % MATCHBYCORRELATION - match image feature points by correlation
%
% Function generates putative matches between previously detected
% feature points in two images by looking for points that are maximally
% correlated with each other within windows surrounding each point.
% Only points that correlate most strongly with... |
github | jacksky64/imageProcessing-master | phasesym.m | .m | imageProcessing-master/Matlab Code for Computer Vision/PhaseCongruency/phasesym.m | 22,344 | utf_8 | fe0d5de58f828487776d00bfabd5f354 | % PHASESYM - Function for computing phase symmetry on an image.
%
% This function calculates the phase symmetry of points in an image.
% This is a contrast invariant measure of symmetry. This function can be
% used as a line and blob detector. The greyscale 'polarity' of the lines
% that you want to find can be speci... |
github | jacksky64/imageProcessing-master | phasesymmono.m | .m | imageProcessing-master/Matlab Code for Computer Vision/PhaseCongruency/phasesymmono.m | 19,431 | utf_8 | 30a844da3cb8a9df67b71b7235e99d8b | % PHASESYMMONO - phase symmetry of an image using monogenic filters
%
% This function calculates the phase symmetry of points in an image.
% This is a contrast invariant measure of symmetry. This function can be
% used as a line and blob detector. The greyscale 'polarity' of the lines
% that you want to find can be s... |
github | jacksky64/imageProcessing-master | phasecong2.m | .m | imageProcessing-master/Matlab Code for Computer Vision/PhaseCongruency/phasecong2.m | 22,754 | utf_8 | 4c97e691728c820aefd65a29a31d6dc5 | % PHASECONG2 - Computes edge and corner phase congruency in an image.
%
% This function calculates the PC_2 measure of phase congruency.
% This function supersedes PHASECONG
%
% There are potentially many arguments, here is the full usage:
%
% [M m or ft pc EO] = phasecong2(im, nscale, norient, minWaveLength... |
github | jacksky64/imageProcessing-master | phasecong3.m | .m | imageProcessing-master/Matlab Code for Computer Vision/PhaseCongruency/phasecong3.m | 26,465 | utf_8 | 0c014f3a3af8bd7658da095b5c402b61 | % PHASECONG3 - Computes edge and corner phase congruency in an image.
%
% This function calculates the PC_2 measure of phase congruency.
% This function supersedes PHASECONG2 and PHASECONG being faster and requires
% less memory
%
% There are potentially many arguments, here is the full usage:
%
% [M m or f... |
github | jacksky64/imageProcessing-master | noisecomp.m | .m | imageProcessing-master/Matlab Code for Computer Vision/PhaseCongruency/noisecomp.m | 7,750 | utf_8 | 9676f0608db5db81178e20d70f317783 | % NOISECOMP - Function for denoising an image
%
% function cleanimage = noisecomp(image, k, nscale, mult, norient, softness)
%
% Parameters:
% k - No of standard deviations of noise to reject 2-3
% nscale - No of filter scales to use (5-7) - the more scales used
% the mor... |
github | jacksky64/imageProcessing-master | loggabor.m | .m | imageProcessing-master/Matlab Code for Computer Vision/PhaseCongruency/loggabor.m | 1,707 | utf_8 | c15d2b1f67996d38d0003a5309d2f76f | % LOGGABOR
%
% Plots 1D log-Gabor functions
%
% Author: Peter Kovesi
% School of Computer Science & Software Engineering
% The University of Western Australia
% pk @ csse uwa edu au http://www.csse.uwa.edu.au/~pk
function loggabor(nscale, wmin, mult, konwo)
Npts = 2048;
Nwaves = 1;
wma... |
github | jacksky64/imageProcessing-master | phasecongmono.m | .m | imageProcessing-master/Matlab Code for Computer Vision/PhaseCongruency/phasecongmono.m | 22,519 | utf_8 | 5d0d160cd66ce1b8ed2bc3db2d332a8f | % PHASECONGMONO - phase congruency of an image using monogenic filters
%
% This code is considerably faster than PHASECONG3 but you may prefer the
% output from PHASECONG3's oriented filters.
%
% There are potentially many arguments, here is the full usage:
%
% [PC or ft T] = ...
% phasecongmono(im, n... |
github | jacksky64/imageProcessing-master | highpassmonogenic.m | .m | imageProcessing-master/Matlab Code for Computer Vision/PhaseCongruency/highpassmonogenic.m | 5,083 | utf_8 | 5757adc283f2cfd76b0279ac438de2a9 | % HIGHPASSMONOGENIC Compute phase and amplitude on highpass images via monogenic filters
%
% Usage: [phase, orient, E, f, h1f, h2f] = highpassmonogenic(im, maxwavelength, n)
%
% Arguments: im - Image to be processed.
% maxwavelength - Wavelength(s) in pixels of the cut-in frequency(ies)
% ... |
github | jacksky64/imageProcessing-master | step2line.m | .m | imageProcessing-master/Matlab Code for Computer Vision/PhaseCongruency/step2line.m | 2,815 | utf_8 | 3de96275d1352c256efd4160cfc1ec2d | % STEP2LINE - Generate test image interpolating a step to a line.
%
% Function to generate a test image where the feature type changes
% from a step edge to a line feature from top to bottom
%
% Usage:
% im = step2line(nscales, ampexponent, sze)
%
% nscales - No of fourier components used to construct... |
github | jacksky64/imageProcessing-master | odot.m | .m | imageProcessing-master/Matlab Code for Computer Vision/PhaseCongruency/odot.m | 3,720 | utf_8 | 336255093ed76b067368d764f3d823d5 | % ODOT - Demonstrates odot and oslash operators on 1D signal
%
% Usage: [smooth, energy] = odot(f, K)
%
% Arguments: f - a 1D signal
% K - optional 'Weiner' type factor to condition the results
% where division by 0 occurs in the 'oslash' operation.
% K defaults to ... |
github | jacksky64/imageProcessing-master | dispfeat.m | .m | imageProcessing-master/Matlab Code for Computer Vision/PhaseCongruency/dispfeat.m | 6,082 | utf_8 | 1baad565a14949d330f8fe298e5a0322 | % DISPFEAT - Displays feature types as detected by PHASECONG.
%
% This function provides a visualisation of the feature types as detected
% by PHASECONG.
%
% Usage: im = dispfeat(ft, edgeim, 'l')
%
% Arguments: ft - An image providing the local weighted mean
% phase angle at every point in t... |
github | jacksky64/imageProcessing-master | gaborconvolve.m | .m | imageProcessing-master/Matlab Code for Computer Vision/PhaseCongruency/gaborconvolve.m | 10,723 | utf_8 | e6f93594f5594d23a349d49069729926 | % GABORCONVOLVE - function for convolving image with log-Gabor filters
%
% Usage: [EO, BP] = gaborconvolve(im, nscale, norient, minWaveLength, mult, ...
% sigmaOnf, dThetaOnSigma, Lnorm, feedback)
%
% Arguments:
% The convolutions are done via the FFT. Many of the parameters relate
% to the specification of th... |
github | jacksky64/imageProcessing-master | monofilt.m | .m | imageProcessing-master/Matlab Code for Computer Vision/PhaseCongruency/monofilt.m | 6,435 | utf_8 | 07ef46eb32d19a4d79e9ec304c6cb2d3 | % MONOFILT - Apply monogenic filters to an image to obtain 2D analytic signal
%
% Implementation of Felsberg's monogenic filters
%
% Usage: [f, h1f, h2f, A, theta, psi] = ...
% monofilt(im, nscale, minWaveLength, mult, sigmaOnf, orientWrap)
% 3 4 2 0.65 ... |
github | jacksky64/imageProcessing-master | ppdrc.m | .m | imageProcessing-master/Matlab Code for Computer Vision/PhaseCongruency/ppdrc.m | 6,348 | utf_8 | a73a5e99aa7b7db0ace9da43a9a88e26 | % PPDRC Phase Preserving Dynamic Range Compression
%
% Generates a series of dynamic range compressed images at different scales.
% This function is designed to reveal subtle features within high dynamic range
% images such as aeromagnetic and other potential field grids. Often this kind
% of data is presented using hi... |
github | jacksky64/imageProcessing-master | plotgaborfilters.m | .m | imageProcessing-master/Matlab Code for Computer Vision/PhaseCongruency/plotgaborfilters.m | 10,822 | utf_8 | 2734ffd48e7ead17030ee0fd2f31fce7 | % PLOTGABORFILTERS - Plots log-Gabor filters
%
% The purpose of this code is to see what effect the various parameter
% settings have on the formation of a log-Gabor filter bank.
%
% Usage: [Ffilter, Efilter, Ofilter] = plotgaborfilters(sze, nscale, norient,...
% minWaveLength, mu... |
github | jacksky64/imageProcessing-master | spatialgabor.m | .m | imageProcessing-master/Matlab Code for Computer Vision/PhaseCongruency/spatialgabor.m | 2,644 | utf_8 | 0d56aa13789e5563961e97238d519790 | % SPATIALGABOR - applies single oriented gabor filter to an image
%
% Usage:
% [Eim, Oim, Aim] = spatialgabor(im, wavelength, angle, kx, ky, showfilter)
%
% Arguments:
% im - Image to be processed.
% wavelength - Wavelength in pixels of Gabor filter to construct
% angle - Angle of... |
github | jacksky64/imageProcessing-master | phasecong.m | .m | imageProcessing-master/Matlab Code for Computer Vision/PhaseCongruency/phasecong.m | 16,644 | utf_8 | 693c5ec683ef5ce8c816379185261bf7 | % PHASECONG - Computes phase congruency on an image.
%
% Usage: [pc or ft] = phasecong(im)
%
% This function calculates the PC_2 measure of phase congruency.
% For maximum speed the input image should be square and have a
% size that is a power of 2, but the code will operate on images
% of arbitrary size.
%
%
% R... |
github | jacksky64/imageProcessing-master | convexplpiccis.m | .m | imageProcessing-master/Matlab Code for Computer Vision/PhaseCongruency/Docs/convexplpiccis.m | 2,884 | utf_8 | c73812719db08612eddaff3437e2413b | % Function to create images for the convolution explanation
function [spread, logGabor, gfilter] = convexplpiccis
rows = 200; cols = 200;
wavelength = 16;
sigmaOnf = 0.65;
angl = 1;
thetaSigma = 0.7;
[x,y] = meshgrid([-cols/2:(cols/2-1)]/cols,...
[-rows/2:(rows/2-1)]/rows);
radius ... |
github | jacksky64/imageProcessing-master | needleplotgrad.m | .m | imageProcessing-master/Matlab Code for Computer Vision/Shapelet/needleplotgrad.m | 758 | utf_8 | c0bb3b31a34d8fc8cf86c384b5f2da52 | % NEEDLEPLOTGRAD - needleplot of 3D surface from gradient data
%
% Usage: needleplotgrad(dzdx, dzdy, len, spacing)
%
% dzdx, dzdy - 2D arrays of gradient with respect to x and y.
% len - length of needle to be plotted.
% spacing - sub-sampling interval to be used in the
% ... |
github | jacksky64/imageProcessing-master | needleplotst.m | .m | imageProcessing-master/Matlab Code for Computer Vision/Shapelet/needleplotst.m | 1,443 | utf_8 | 86c5bdaa284362a76e6260f265211832 | % NEEDLEPLOTST - needleplot of 3D surface from slant tilt data
%
% Usage: needleplotst(slant, tilt, len, spacing)
%
% slant, tilt - 2D arrays of slant and tilt values
% len - length of needle to be plotted
% spacing - sub-sampling interval to be used in the
% ... |
github | jacksky64/imageProcessing-master | grad2slanttilt.m | .m | imageProcessing-master/Matlab Code for Computer Vision/Shapelet/grad2slanttilt.m | 1,097 | utf_8 | 051e7b40ca4bf4dbefca92a57a98e63f | % GRAD2SLANTTILT - gradient in x y to slant tilt
%
% Function to convert a matrix of surface gradients to
% slant and tilt values.
%
% Usage: [slant, tilt] = grad2slanttilt(dzdx, dzdy)
%
% Copyright (c) 2003 Peter Kovesi
% School of Computer Science & Software Engineering
% The University of Western Aus... |
github | jacksky64/imageProcessing-master | testp.m | .m | imageProcessing-master/Matlab Code for Computer Vision/Shapelet/testp.m | 2,436 | utf_8 | 9568a363ea5a8f8a4a4d28e4b6bdb4ff | % Function to make ramps test surface for shape from shapelet testing
%
% Usage:
% function [z,s,t] = testp(noise)
%
% Arguments:
% noise - An optional parameter specifying the standard
% deviation of Gaussian noise to add to the slant and tilt
% ... |
github | jacksky64/imageProcessing-master | frankotchellappa.m | .m | imageProcessing-master/Matlab Code for Computer Vision/Shapelet/frankotchellappa.m | 2,612 | utf_8 | 56bcc95bb901b40d8eee5f4e8a533b91 | % FRANKOTCHELLAPPA - Generates integrable surface from gradients
%
% An implementation of Frankot and Chellappa'a algorithm for constructing
% an integrable surface from gradient information.
%
% Usage: z = frankotchellappa(dzdx,dzdy)
%
% Arguments: dzdx, - 2D matrices specifying a grid of gradients of z
% ... |
github | jacksky64/imageProcessing-master | slanttilt2grad.m | .m | imageProcessing-master/Matlab Code for Computer Vision/Shapelet/slanttilt2grad.m | 1,090 | utf_8 | 7fb013bc78a565346b80337d3535d16d | % SLANTTILT2GRAD - slant and tilt to gradient in x y
%
% Function to convert a matrix of slant and tilt values to
% surface gradients.
%
% Usage: [dzdx, dzdy] = slanttilt2grad(slant, tilt)
%
% Copyright (c) 2003 Peter Kovesi
% School of Computer Science & Software Engineering
% The University of Western... |
github | jacksky64/imageProcessing-master | shapeletsurf.m | .m | imageProcessing-master/Matlab Code for Computer Vision/Shapelet/shapeletsurf.m | 9,292 | utf_8 | ab9b782a8bb8c8d669105b6ffe6dba0c | % SHAPELETSURF - reconstructs surface from surface normals using shapelets
%
% Function reconstructs an estimate of a surface from its surface normals by
% correlating the surface normals with that those of a bank of shapelet
% basis functions. The correlation results are summed to produce the
% reconstruction. T... |
github | jacksky64/imageProcessing-master | ridgefreq.m | .m | imageProcessing-master/Matlab Code for Computer Vision/FingerPrints/ridgefreq.m | 2,993 | utf_8 | 06dee0fde68607594d459ca300e6d102 | % RIDGEFREQ - Calculates a ridge frequency image
%
% Function to estimate the fingerprint ridge frequency across a
% fingerprint image. This is done by considering blocks of the image and
% determining a ridgecount within each block by a call to FREQEST.
%
% Usage:
% [freqim, medianfreq] = ridgefreq(im, mask, orienti... |
github | jacksky64/imageProcessing-master | freqest.m | .m | imageProcessing-master/Matlab Code for Computer Vision/FingerPrints/freqest.m | 3,637 | utf_8 | a4f96f1105673bbd0d6851306a9712c8 | % FREQEST - Estimate fingerprint ridge frequency within image block
%
% Function to estimate the fingerprint ridge frequency within a small block
% of a fingerprint image. This function is used by RIDGEFREQ
%
% Usage:
% freqim = freqest(im, orientim, windsze, minWaveLength, maxWaveLength)
%
% Arguments:
% im... |
github | jacksky64/imageProcessing-master | ridgefilter.m | .m | imageProcessing-master/Matlab Code for Computer Vision/FingerPrints/ridgefilter.m | 4,770 | utf_8 | a6443447a69fa10919e580f23e30c264 | % RIDGEFILTER - enhances fingerprint image via oriented filters
%
% Function to enhance fingerprint image via oriented filters
%
% Usage:
% newim = ridgefilter(im, orientim, freqim, kx, ky, showfilter)
%
% Arguments:
% im - Image to be processed.
% orientim - Ridge orientation image, obtained fr... |
github | jacksky64/imageProcessing-master | ridgesegment.m | .m | imageProcessing-master/Matlab Code for Computer Vision/FingerPrints/ridgesegment.m | 2,320 | utf_8 | 2bb49bf39ab2cc6bdd3a9e158ef0a054 | % RIDGESEGMENT - Normalises fingerprint image and segments ridge region
%
% Function identifies ridge regions of a fingerprint image and returns a
% mask identifying this region. It also normalises the intesity values of
% the image so that the ridge regions have zero mean, unit standard
% deviation.
%
% This function... |
github | jacksky64/imageProcessing-master | plotridgeorient.m | .m | imageProcessing-master/Matlab Code for Computer Vision/FingerPrints/plotridgeorient.m | 1,898 | utf_8 | 830409dd2081c8e49dec602b704f949d | % PLOTRIDGEORIENT - plot of ridge orientation data
%
% Usage: plotridgeorient(orient, spacing, im, figno)
%
% orientim - Ridge orientation image (obtained from RIDGEORIENT)
% spacing - Sub-sampling interval to be used in ploting the
% orientation data the (Plotting every point i... |
github | jacksky64/imageProcessing-master | ridgeorient.m | .m | imageProcessing-master/Matlab Code for Computer Vision/FingerPrints/ridgeorient.m | 4,785 | utf_8 | d0a1e0389d1ba0031b88a48553cbba9f | % RIDGEORIENT - Estimates the local orientation of ridges in a fingerprint
%
% Usage: [orientim, reliability, coherence] = ridgeorientation(im, gradientsigma,...
% blocksigma, ...
% orientsmoothsigma)
%
% Arguments: im ... |
github | jacksky64/imageProcessing-master | testfin.m | .m | imageProcessing-master/Matlab Code for Computer Vision/FingerPrints/Docs/testfin.m | 1,759 | utf_8 | 8bd1035571269c92bbeebfee58b37d75 | % TESTFIN
%
% Function to demonstrate use of fingerprint code
%
% Usage: [newim, binim, mask, reliability] = testfin(im);
%
% Argument: im - Fingerprint image to be enhanced.
%
% Returns: newim - Ridge enhanced image.
% binim - Binary version of enhanced image.
% mask - Ridge-like regi... |
github | jacksky64/imageProcessing-master | adjcontrast.m | .m | imageProcessing-master/Matlab Code for Computer Vision/GreyTrans/adjcontrast.m | 1,772 | utf_8 | df466fd21398669febf7971b25906279 | % ADJCONTRAST - Adjusts image contrast using sigmoid function.
%
% function g = adjcontrast(im, gain, cutoff)
%
% Arguments:
% im - image to be processed.
% gain - controls the actual contrast;
% A value of about 5 is neutral (little change).
% A valu... |
github | jacksky64/imageProcessing-master | histtruncate.m | .m | imageProcessing-master/Matlab Code for Computer Vision/GreyTrans/histtruncate.m | 4,297 | utf_8 | 8662c6c4ad1997ffd87d3053e4425473 | % HISTTRUNCATE - Truncates ends of an image histogram.
%
% Function truncates a specified percentage of the lower and
% upper ends of an image histogram.
%
% This operation allows grey levels to be distributed across
% the primary part of the histogram. This solves the problem
% when one has, say, a few very bright va... |
github | jacksky64/imageProcessing-master | adjgamma.m | .m | imageProcessing-master/Matlab Code for Computer Vision/GreyTrans/adjgamma.m | 1,278 | utf_8 | 7923fe5b3ada0cd08b5edf5528839448 | % ADJGAMMA - Adjusts image gamma.
%
% function g = adjgamma(im, g)
%
% Arguments:
% im - image to be processed.
% g - image gamma value.
% Values in the range 0-1 enhance contrast of bright
% regions, values > 1 enhance contrast in dark
% ... |
github | jacksky64/imageProcessing-master | histeqfloat.m | .m | imageProcessing-master/Matlab Code for Computer Vision/GreyTrans/histeqfloat.m | 2,523 | utf_8 | c9d2c9d7f401952ba393c03926112405 | % HISTEQFLOAT Floating point image histogram equalisation
%
% Histogram equalisation for images containing floating point values. The number
% of distinct values in the output image will be the same as the number of
% distinct values in the input image.
%
% Usage: nim = histeqfloat(im, nbins)
%
% Arguments: im - Im... |
github | jacksky64/imageProcessing-master | extractfields.m | .m | imageProcessing-master/Matlab Code for Computer Vision/GreyTrans/extractfields.m | 3,195 | utf_8 | fc2a0b4ffe621599238d4558ebbab88e | % EXTRACTFIELDS - Separates fields from a video frame.
%
% Function to separate fields from a video frame
% and (optionally) interpolate intermediate lines
% for each field.
%
% Usage: [f1, f2] = extractfields(im,interp)
%
% f1 and f2 are the odd and even fields
% im is the frame to be split
% interp is an optio... |
github | jacksky64/imageProcessing-master | interpfields.m | .m | imageProcessing-master/Matlab Code for Computer Vision/GreyTrans/interpfields.m | 2,616 | utf_8 | 995c2497c2bd2f01a7fc72cc0c552c7e | % INTERPFIELDS - Interpolates lines on a field extracted from a video frame.
%
% Function to interpolate intermediate lines on odd or even
% fields extracted from a video frame
%
% Usage: intp = interpfields(field, oddeven);
%
%
% Arguments: field - the field to be interpolated
% oddeven - optional fl... |
github | jacksky64/imageProcessing-master | agc.m | .m | imageProcessing-master/Matlab Code for Computer Vision/GreyTrans/agc.m | 3,871 | utf_8 | e4153ae09348114147d2cd732b327195 | % AGC Automatic Gain Control for geophysical images
%
% Usage: agcim = agc(im, sigma, p, r)
%
% Arguments: im - The input image. NaNs in the image are handled
% automatically.
% sigma - The standard deviation of the Gaussian filter used to
% determine local image me... |
github | jacksky64/imageProcessing-master | normalise.m | .m | imageProcessing-master/Matlab Code for Computer Vision/GreyTrans/normalise.m | 2,312 | utf_8 | 5ea78a2901be537abb01b07cd78b3ddf | % NORMALISE - Normalises image values to 0-1, or to desired mean and variance
%
% Usage:
% n = normalise(im)
%
% Offsets and rescales image so that the minimum value is 0
% and the maximum value is 1. Result is returned in n. If the image is
% colour the image is converted to HSV and the value/intensity c... |
github | jacksky64/imageProcessing-master | remapim.m | .m | imageProcessing-master/Matlab Code for Computer Vision/GreyTrans/remapim.m | 2,589 | utf_8 | 197534d04489cb4cfd3b0d641d848c0a | % REMAPIM - Remaps image intensity values
%
% Usage: newim = remapim(im, x, y, rescale)
% \
% optional
% Arguments
% im - Image to be transformed.
% x,y - Coordinates of spline control points that define the
% ... |
github | jacksky64/imageProcessing-master | greytrans.m | .m | imageProcessing-master/Matlab Code for Computer Vision/GreyTrans/greytrans.m | 4,462 | utf_8 | f2f1254324be1d786b5fee45794f6bca | % GREYTRANS - Interactive greyscale manipulation of an image (RGB or greyscale)
%
% Usage: [newim, x, y] = greytrans(im, npts)
%
% Arguments
% im - Image to be transformed
% npts - Optional number of control points of the spline
% defining the mapping function. This defaults... |
github | jacksky64/imageProcessing-master | ransacfitfundmatrix7.m | .m | imageProcessing-master/Matlab Code for Computer Vision/Robust/ransacfitfundmatrix7.m | 6,338 | utf_8 | e8bb75917201904ec6c3bdd4f36479f1 | % RANSACFITFUNDMATRIX7 - fits fundamental matrix using RANSAC
%
% Usage: [F, inliers] = ransacfitfundmatrix7(x1, x2, t)
%
% This function requires Andrew Zisserman's 7 point fundamental matrix code.
% See: http://www.robots.ox.ac.uk/~vgg/hzbook/code/
%
% Arguments:
% x1 - 2xN or 3xN set of homogeneous poi... |
github | jacksky64/imageProcessing-master | fitline3d.m | .m | imageProcessing-master/Matlab Code for Computer Vision/Robust/fitline3d.m | 1,247 | utf_8 | 1f7cee8975c9f96bfb8aa43046474e5f | % FITLINE3D - Fits a line to a set of 3D points
%
% Usage: [L] = fitline3d(XYZ)
%
% Where: XYZ - 3xNpts array of XYZ coordinates
% [x1 x2 x3 ... xN;
% y1 y2 y3 ... yN;
% z1 z2 z3 ... zN]
%
% Returns: L - 3x2 matrix consisting of the two endpoints of the line
% ... |
github | jacksky64/imageProcessing-master | ransacfitfundmatrix.m | .m | imageProcessing-master/Matlab Code for Computer Vision/Robust/ransacfitfundmatrix.m | 5,810 | utf_8 | 26f6632c53896e5e0e2f95b86e26394d | % RANSACFITFUNDMATRIX - fits fundamental matrix using RANSAC
%
% Usage: [F, inliers] = ransacfitfundmatrix(x1, x2, t)
%
% Arguments:
% x1 - 2xN or 3xN set of homogeneous points. If the data is
% 2xN it is assumed the homogeneous scale factor is 1.
% x2 - 2xN or 3xN set of homogeneo... |
github | jacksky64/imageProcessing-master | ransacfitaffinefund.m | .m | imageProcessing-master/Matlab Code for Computer Vision/Robust/ransacfitaffinefund.m | 4,443 | utf_8 | 1f0e4e13663302b2d953db1e18f9ffe2 | % RANSACFITAFFINEFUND - fits affine fundamental matrix using RANSAC
%
% Usage: [F, inliers] = ransacfitaffinefund(x1, x2, t)
%
% Arguments:
% x1 - 2xN or 3xN set of homogeneous points. If the data is
% 2xN it is assumed the homogeneous scale factor is 1.
% x2 - 2xN or 3xN set of ho... |
github | jacksky64/imageProcessing-master | fitplane.m | .m | imageProcessing-master/Matlab Code for Computer Vision/Robust/fitplane.m | 1,694 | utf_8 | a058a2453754cff9ea42776f1034436a | % FITPLANE - solves coefficients of plane fitted to 3 or more points
%
% Usage: B = fitplane(XYZ)
%
% Where: XYZ - 3xNpts array of xyz coordinates to fit plane to.
% If Npts is greater than 3 a least squares solution
% is generated.
%
% Returns: B - 4x1 array of plane coefficient... |
github | jacksky64/imageProcessing-master | randomsample.m | .m | imageProcessing-master/Matlab Code for Computer Vision/Robust/randomsample.m | 2,218 | utf_8 | d672616e8ac80b56f5cb91ac584537d8 | % RANDOMSAMPLE - selects n random items from an array
%
% Usage: items = randomsample(a, n)
%
% Arguments: a - Either an array of values from which the items are to
% be selected, or an integer in which case the items
% are values selected from the array [1:a]
% n -... |
github | jacksky64/imageProcessing-master | iscolinear.m | .m | imageProcessing-master/Matlab Code for Computer Vision/Robust/iscolinear.m | 2,318 | utf_8 | 65025b7413f8f6b4cb16dd1689a5900f | % ISCOLINEAR - are 3 points colinear
%
% Usage: r = iscolinear(p1, p2, p3, flag)
%
% Arguments:
% p1, p2, p3 - Points in 2D or 3D.
% flag - An optional parameter set to 'h' or 'homog'
% indicating that p1, p2, p3 are homogneeous
% coordinates with arbitrary s... |
github | jacksky64/imageProcessing-master | ransacfithomography.m | .m | imageProcessing-master/Matlab Code for Computer Vision/Robust/ransacfithomography.m | 4,920 | utf_8 | d479d49f7c8e8689283005bcbe340b61 | % RANSACFITHOMOGRAPHY - fits 2D homography using RANSAC
%
% Usage: [H, inliers] = ransacfithomography(x1, x2, t)
%
% Arguments:
% x1 - 2xN or 3xN set of homogeneous points. If the data is
% 2xN it is assumed the homogeneous scale factor is 1.
% x2 - 2xN or 3xN set of homogeneous po... |
github | jacksky64/imageProcessing-master | ransac.m | .m | imageProcessing-master/Matlab Code for Computer Vision/Robust/ransac.m | 10,255 | utf_8 | c362c71608a367b36e27faf346c8e810 | % RANSAC - Robustly fits a model to data with the RANSAC algorithm
%
% Usage:
%
% [M, inliers] = ransac(x, fittingfn, distfn, degenfn s, t, feedback, ...
% maxDataTrials, maxTrials)
%
% Arguments:
% x - Data sets to which we are seeking to fit a model M
% It is assumed ... |
github | jacksky64/imageProcessing-master | fitline.m | .m | imageProcessing-master/Matlab Code for Computer Vision/Robust/fitline.m | 3,537 | utf_8 | 4b7acec43fdeacc38c926e7d3e6d8a59 | % FITLINE - Least squares fit of a line to a set of points
%
% Usage: [C, dist] = fitline(XY)
%
% Where: XY - 2xNpts array of xy coordinates to fit line to data of
% the form
% [x1 x2 x3 ... xN
% y1 y2 y3 ... yN]
%
% XY can also be a 3xN... |
github | jacksky64/imageProcessing-master | ransacfitline.m | .m | imageProcessing-master/Matlab Code for Computer Vision/Robust/ransacfitline.m | 4,628 | utf_8 | 164727c9f870963847fe09846fef96a5 | % RANSACFITLINE - fits line to 3D array of points using RANSAC
%
% Usage [L, inliers] = ransacfitline(XYZ, t, feedback)
%
% This function uses the RANSAC algorithm to robustly fit a line
% to a set of 3D data points.
%
% Arguments:
% XYZ - 3xNpts array of xyz coordinates to fit line to.
% t - The d... |
github | jacksky64/imageProcessing-master | ransacfitplane.m | .m | imageProcessing-master/Matlab Code for Computer Vision/Robust/ransacfitplane.m | 4,394 | utf_8 | baa5ff279844792a35a0615536c87855 | % RANSACFITPLANE - fits plane to 3D array of points using RANSAC
%
% Usage [B, P, inliers] = ransacfitplane(XYZ, t, feedback)
%
% This function uses the RANSAC algorithm to robustly fit a plane
% to a set of 3D data points.
%
% Arguments:
% XYZ - 3xNpts array of xyz coordinates to fit plane to.
% ... |
github | jacksky64/imageProcessing-master | testfund.m | .m | imageProcessing-master/Matlab Code for Computer Vision/Robust/example/testfund.m | 4,834 | utf_8 | 0a1cac5c368987d90056180271adbfb5 | % Demonstration of feature matching via simple correlation, and then using
% RANSAC to estimate the fundamental matrix and at the same time identify
% (mostly) inlying matches
%
% Usage: testfund - Demonstrates fundamental matrix calculation
% on two default images.
% ... |
github | jacksky64/imageProcessing-master | testfitline.m | .m | imageProcessing-master/Matlab Code for Computer Vision/Robust/example/testfitline.m | 3,953 | utf_8 | f97a656b9a7452fe4bce589b0ea934c4 | % TESTFITLINE - demonstrates RANSAC line fitting
%
% Usage: testfitline(outliers, sigma, t, feedback)
%
% Arguments:
% outliers - Fraction specifying how many points are to be
% outliers.
% sigma - Standard deviation of inlying points from the
% ... |
github | jacksky64/imageProcessing-master | testhomog.m | .m | imageProcessing-master/Matlab Code for Computer Vision/Robust/example/testhomog.m | 2,978 | utf_8 | 8c24c0c26133700b6ca737053fc660e7 | % Demonstration of feature matching via simple correlation, and then using
% RANSAC to estimate the homography between two images and at the same time
% identify (mostly) inlying matches
%
% Usage: testhomog - Demonstrates homography calculation on two
% default images
% ... |
github | jacksky64/imageProcessing-master | testfundOctave.m | .m | imageProcessing-master/Matlab Code for Computer Vision/Robust/example/testfundOctave.m | 2,769 | utf_8 | 44430d35fa0a1d0a29001b5d76e0f81a | % Demonstration of feature matching via simple correlation, and then using
% RANSAC to estimate the fundamental matrix and at the same time identify
% (mostly) inlying matches
% Peter Kovesi
% School of Computer Science & Software Engineering
% The University of Western Australia
% pk at csse uwa edu au
% http://www... |
github | jacksky64/imageProcessing-master | testfitplane.m | .m | imageProcessing-master/Matlab Code for Computer Vision/Robust/example/testfitplane.m | 3,474 | utf_8 | 8e3a7a2e2bd65da6d3a122e6e903d3f8 | % TESTFITPLANE - demonstrates RANSAC plane fitting
%
% Usage: testfitplane(outliers, sigma, t, feedback)
%
% Arguments:
% outliers - Fraction specifying how many points are to be
% outliers.
% sigma - Standard deviation of inlying points from the
% ... |
github | jacksky64/imageProcessing-master | testvgghomog.m | .m | imageProcessing-master/Matlab Code for Computer Vision/Robust/example/testvgghomog.m | 2,985 | utf_8 | fb71f9f4828200b6a682941b00c1b3a6 | % Demonstration of feature matching via simple correlation, and then using
% RANSAC to estimate the homography between two images and at the same time
% identify (mostly) inlying matches
%
% Usage: testhomog - Demonstrates homography calculation on two
% default images
% ... |
github | jacksky64/imageProcessing-master | map2lutfile.m | .m | imageProcessing-master/Matlab Code for Computer Vision/Colourmaps/map2lutfile.m | 754 | utf_8 | 2300f6e519f599653ffb3bf7f3286eeb | % MAP2LUTFILE Writes a colourmap to a .lut file for use with ImageJ
%
% Usage: map2lutfile(map, fname)
%
% The format of a lookup table for ImageJ is 256 bytes of red values, followed
% by 256 green values and finally 256 blue values. A total of 768 bytes.
%
% PK June 2014
function map2lutfile(map, fname)
[N,... |
github | jacksky64/imageProcessing-master | labmaplib.m | .m | imageProcessing-master/Matlab Code for Computer Vision/Colourmaps/labmaplib.m | 57,246 | utf_8 | dcd370a01f0282850d06f15390cb801c | % LABMAPLIB Library of colour maps designed in CIELAB or RGB space
%
% Usage: 1: [map, name, desc] = labmaplib(I, param_name, value ...)
% 2: labmaplib
% 3: labmaplib(str)
%
% Arguments for Usage 1:
%
% I - An integer specifying the index of the colour map to be
% generat... |
github | jacksky64/imageProcessing-master | map2ermapperlutfile.m | .m | imageProcessing-master/Matlab Code for Computer Vision/Colourmaps/map2ermapperlutfile.m | 1,797 | utf_8 | aace8b9f7a1a077cdab2c5bc541bea51 | % MAP2ERMAPPERLUTFILE Writes ER Mapper LUT colour map file
%
% Usage: map2ermapperlutfile(map, filename, name, description)
%
% Arguments: map - N x 3 rgb colour map of values 0-1.
% filename - Filename of LUT file to create. A .lut ending is added
% if the filename has no suffix.
% ... |
github | jacksky64/imageProcessing-master | equalisecolourmap.m | .m | imageProcessing-master/Matlab Code for Computer Vision/Colourmaps/equalisecolourmap.m | 17,904 | utf_8 | fb400048f547aa42b98ce524346562d4 | % EQUALISECOLOURMAP - Equalise colour contrast over a colourmap
%
% Usage: newrgbmap = equalisecolourmap(rgblab, map, formula, W, sigma, diagnostics)
%
% Arguments: rgblab - String 'RGB' or 'LAB' indicating the type of data
% in map.
% map - A Nx3 RGB or CIELAB colour map
%... |
github | jacksky64/imageProcessing-master | cmap.m | .m | imageProcessing-master/Matlab Code for Computer Vision/Colourmaps/cmap.m | 45,076 | utf_8 | f2b84fc935b1cb87ca94d191893eefde | % CMAP Library of perceptually uniform colour maps
%
% Usage: 1: [map, name, desc] = cmap(I, param_name, value ...)
% 2: cmap
% 3: cmap(str)
%
% Arguments for Usage 1:
%
% I - A string label indicating the colour map to be generated or a
% string specifying a colour map n... |
github | jacksky64/imageProcessing-master | ternarycolours.m | .m | imageProcessing-master/Matlab Code for Computer Vision/Colourmaps/ternarycolours.m | 4,004 | utf_8 | ea4668fc20c8bc3e6e26893981927aab | % TERNARYCOLOURS Determine 3 basis colours for a ternary image
%
% This function determines 3 basis colours for constructing ternary/radiometric
% images. Ideally these are isoluminant and have the same chroma. While this
% function does not achieve this perfectly the three colours it generates are
% fairly good.
%
%... |
github | jacksky64/imageProcessing-master | map2qgisstyle.m | .m | imageProcessing-master/Matlab Code for Computer Vision/Colourmaps/map2qgisstyle.m | 3,266 | utf_8 | e8e5248686bb0f8761231f97fcc521db | % MAP2QGISSTYLE Writes colour maps to QGIS style file
%
% Usage: map2qgisstyle(map, mapname, filename)
%
% Arguments: map - N x 3 colour map, or a cell array of N x 3 colour maps
% mapname - String giving the colour map name, or a cell array of
% strings
% filename - File name to... |
github | jacksky64/imageProcessing-master | ternaryimage.m | .m | imageProcessing-master/Matlab Code for Computer Vision/Colourmaps/ternaryimage.m | 3,966 | utf_8 | 34a7ce4ff9d4772808994acf7a46b194 | % TERNARYIMAGE Perceptualy uniform ternary image from 3 bands of data
%
% Usage: rgbim = ternaryimage(im, bands, histcut, Rmap, Gmap, Bmap)
%
% Arguments
% im - Multiband image with at least 3 bands, or a cell array of
% at least 3 images.
% bands - Array of 3 values indicating... |
github | jacksky64/imageProcessing-master | linearrgbmap.m | .m | imageProcessing-master/Matlab Code for Computer Vision/Colourmaps/linearrgbmap.m | 882 | utf_8 | ffe885dc19eb15928ea8117e1902d32e | % LINEARRGBMAP Linear rgb colourmap from black to a specified colour
%
% Usage: map = linearrgbmap(C, N)
%
% Arguments: C - 3-vector specifying RGB colour
% N - Number of colourmap elements, defaults to 256
%
% Returns: map - Nx3 RGB colourmap ranging from [0 0 0] to colour C
%
% It is suggested that you... |
github | jacksky64/imageProcessing-master | readermapperlutfile.m | .m | imageProcessing-master/Matlab Code for Computer Vision/Colourmaps/readermapperlutfile.m | 3,143 | utf_8 | 137e2c6fab526b434b8ab24d23106693 | % READERMAPPERLUTFILE Read ER Mapper LUT colour map file
%
% Usage: [map, name, description] = readermapperlutfile(filename)
%
% Argument: filename - Filename to read
%
% Returns:
% map - N x 3 rgb colour map of values 0-1.
% name - Name of colour map (if specified in file).
% ... |
github | jacksky64/imageProcessing-master | writecolourmapfn.m | .m | imageProcessing-master/Matlab Code for Computer Vision/Colourmaps/writecolourmapfn.m | 1,354 | utf_8 | 2b064a86456dae2b3ea2634a7edad8c0 | % WRITECOLOURMAPFN Creates a MATLAB function file from a Nx3 colourmap
%
% Usage: writecolourmapfn(map, fname)
%
% PK June 2014
function writecolourmapfn(map, fname)
[N, chan] = size(map);
if chan ~= 3
error('Colourmap must be Nx3');
end
if strendswith(fname, '.m') % If fname has ... |
github | jacksky64/imageProcessing-master | map2geosofttbl.m | .m | imageProcessing-master/Matlab Code for Computer Vision/Colourmaps/map2geosofttbl.m | 1,634 | utf_8 | f354e08adec5586e24061af7e42c98de | % MAP2GEOSOFTTBL Converts MATLAB colourmap to Geosoft .tbl file
%
% Usage: map2geosofttbl(map, filename, cmyk)
%
% Arguments: map - N x 3 rgb colourmap
% filename - Output filename
% cmyk - Optional flag 0/1 indicating whether CMYK values should
% be written. Defaults to 0 whe... |
github | jacksky64/imageProcessing-master | readimagejlutfile.m | .m | imageProcessing-master/Matlab Code for Computer Vision/Colourmaps/readimagejlutfile.m | 1,122 | utf_8 | f1de0f94122413d9e59d237a6b0c2674 | % READIMAGEJLUTFILE Reads lut colourmap file as used by ImageJ
%
% Usage: map = readimagejlutfile(fname)
%
% Argument: fname - Filename of a .lut file
% Returns: map - 256 x 3 colourmap table
%
% The format of a lookup table for ImageJ is 256 bytes of red values, followed
% by 256 green values and finally 256 blu... |
github | jacksky64/imageProcessing-master | map2actfile.m | .m | imageProcessing-master/Matlab Code for Computer Vision/Colourmaps/map2actfile.m | 741 | utf_8 | 4c119e2da488dd0845d360b13ebc6d46 | % MAP2ACTFILE Writes colourmap to .act file Adobe Colourmap Table
%
% Usage: map2actfile(map, fname)
%
% An Adobe Colourmap Table is a file of 256 sets of R G and B values written as
% bytes, a total of 768 bytes.
%
% PK June 2014
function map2actfile(map, fname)
[N, chan] = size(map);
if N ~= 256 | chan ~... |
github | jacksky64/imageProcessing-master | ternarymaps.m | .m | imageProcessing-master/Matlab Code for Computer Vision/Colourmaps/ternarymaps.m | 1,992 | utf_8 | f1edae4213fc031028b69d29f72addcc | % TERNARYMAPS Returns three basis colour maps for generating ternary images
%
% Usage: [Rmap, Gmap, Bmap] = ternarymaps(N);
%
% Argument: N - Number of elements within the colour maps. This is optional
% and defaults to 256
% Returns:
% Rmap, Gmap, Bmap - Three colour maps that are nominally red, ... |
github | jacksky64/imageProcessing-master | geosofttbl2map.m | .m | imageProcessing-master/Matlab Code for Computer Vision/Colourmaps/geosofttbl2map.m | 1,313 | utf_8 | 97f965db62a9a1ea1d2d5bccb32bd608 | % GEOSOFTTBL2MAP Converts Geosoft .tbl file to MATLAB colourmap
%
% Usage: geosofttbl2map(filename, map)
%
% Arguments: filename - Input filename of tbl file
% map - N x 3 rgb colourmap
%
%
% This function reads a Geosoft .tbl file and converts the KCMY values to a RGB
% colourmap.
%
% See als... |
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