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github | Ciaran1981/SeAMS-master | ransacfitaffinefund.m | .m | SeAMS-master/Utilities/MatlabFns/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 | Ciaran1981/SeAMS-master | fitplane.m | .m | SeAMS-master/Utilities/MatlabFns/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 | Ciaran1981/SeAMS-master | randomsample.m | .m | SeAMS-master/Utilities/MatlabFns/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 | Ciaran1981/SeAMS-master | iscolinear.m | .m | SeAMS-master/Utilities/MatlabFns/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 | Ciaran1981/SeAMS-master | ransacfithomography.m | .m | SeAMS-master/Utilities/MatlabFns/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 | Ciaran1981/SeAMS-master | ransac.m | .m | SeAMS-master/Utilities/MatlabFns/Robust/ransac.m | 10,145 | utf_8 | 3089c4a4e2a58e086c8b1c5579aa9c53 | % 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 | Ciaran1981/SeAMS-master | fitline.m | .m | SeAMS-master/Utilities/MatlabFns/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 | Ciaran1981/SeAMS-master | ransacfitline.m | .m | SeAMS-master/Utilities/MatlabFns/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 | Ciaran1981/SeAMS-master | ransacfitplane.m | .m | SeAMS-master/Utilities/MatlabFns/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 | Ciaran1981/SeAMS-master | testfund.m | .m | SeAMS-master/Utilities/MatlabFns/Robust/example/testfund.m | 4,750 | utf_8 | 0deb774af59a52b8be800cea1cfb2adc | % 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 | Ciaran1981/SeAMS-master | testfitline.m | .m | SeAMS-master/Utilities/MatlabFns/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 | Ciaran1981/SeAMS-master | testhomog.m | .m | SeAMS-master/Utilities/MatlabFns/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 | Ciaran1981/SeAMS-master | testfundOctave.m | .m | SeAMS-master/Utilities/MatlabFns/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 | Ciaran1981/SeAMS-master | testfitplane.m | .m | SeAMS-master/Utilities/MatlabFns/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 | Ciaran1981/SeAMS-master | testvgghomog.m | .m | SeAMS-master/Utilities/MatlabFns/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 | Ciaran1981/SeAMS-master | map2lutfile.m | .m | SeAMS-master/Utilities/MatlabFns/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 | Ciaran1981/SeAMS-master | labmaplib.m | .m | SeAMS-master/Utilities/MatlabFns/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 | Ciaran1981/SeAMS-master | map2ermapperlutfile.m | .m | SeAMS-master/Utilities/MatlabFns/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 | Ciaran1981/SeAMS-master | equalisecolourmap.m | .m | SeAMS-master/Utilities/MatlabFns/Colourmaps/equalisecolourmap.m | 17,848 | utf_8 | c7a0f9aaa4f59e3e4036e8066e7ee6d4 | % 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 | Ciaran1981/SeAMS-master | cmap.m | .m | SeAMS-master/Utilities/MatlabFns/Colourmaps/cmap.m | 39,595 | utf_8 | 935b84d3970635a6758ed182998117e1 | % 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 | Ciaran1981/SeAMS-master | ternarycolours.m | .m | SeAMS-master/Utilities/MatlabFns/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 | Ciaran1981/SeAMS-master | map2qgisstyle.m | .m | SeAMS-master/Utilities/MatlabFns/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 | Ciaran1981/SeAMS-master | ternaryimage.m | .m | SeAMS-master/Utilities/MatlabFns/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 | Ciaran1981/SeAMS-master | linearrgbmap.m | .m | SeAMS-master/Utilities/MatlabFns/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 | Ciaran1981/SeAMS-master | readermapperlutfile.m | .m | SeAMS-master/Utilities/MatlabFns/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 | Ciaran1981/SeAMS-master | writecolourmapfn.m | .m | SeAMS-master/Utilities/MatlabFns/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 | Ciaran1981/SeAMS-master | map2geosofttbl.m | .m | SeAMS-master/Utilities/MatlabFns/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 | Ciaran1981/SeAMS-master | readimagejlutfile.m | .m | SeAMS-master/Utilities/MatlabFns/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 | Ciaran1981/SeAMS-master | map2actfile.m | .m | SeAMS-master/Utilities/MatlabFns/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 | Ciaran1981/SeAMS-master | ternarymaps.m | .m | SeAMS-master/Utilities/MatlabFns/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 | Ciaran1981/SeAMS-master | geosofttbl2map.m | .m | SeAMS-master/Utilities/MatlabFns/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... |
github | Ciaran1981/SeAMS-master | colourmappath.m | .m | SeAMS-master/Utilities/MatlabFns/Colourmaps/colourmappath.m | 11,106 | utf_8 | 657a67e384f4f2074c75cffc36b9c945 | % COLOURMAPPATH Plots the path of a colour map through colour space
%
% Usage: colourmappath(map, param_name, value, ....)
%
% Required argument:
% map - The colourmap to be plotted
%
% Optional parameter-value pairs, default values in brackets:
% 'N' - The nmber of slices through the colourspac... |
github | Ciaran1981/SeAMS-master | map2imagejlutfile.m | .m | SeAMS-master/Utilities/MatlabFns/Colourmaps/map2imagejlutfile.m | 946 | utf_8 | 20cb86304c4f39be3822f85d6648f55f | % MAP2IMAGEJLUTFILE Writes a colourmap to a .lut file for use with ImageJ
%
% Usage: map2imagejlutfile(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.
%
% See also: READIMAGEJLUTFILE, READERMAPPERLUT... |
github | Ciaran1981/SeAMS-master | generatelabslice.m | .m | SeAMS-master/Utilities/MatlabFns/Colourmaps/generatelabslice.m | 2,213 | utf_8 | 99f7d5a31fd659193715f4e2451be585 | % GENERATELABSLICE Generates RGB image of slice through CIELAB space
%
% Usage: rgbim = generatelabslice(L, flip);
%
% Arguments: L - Desired lightness level of slice through CIELAB space
% flip - If set to 1 the image is fliped up-down. Default is 0
% Returns: rgbim - RGB image of slice
%
% The size of... |
github | Ciaran1981/SeAMS-master | makehomogeneous.m | .m | SeAMS-master/Utilities/MatlabFns/Projective/makehomogeneous.m | 649 | utf_8 | 19d1cac5b6483d4dd545ef8b6bca5dcb | % MAKEHOMOGENEOUS - Appends a scale of 1 to array inhomogeneous coordinates
%
% Usage: hx = makehomogeneous(x)
%
% Argument:
% x - an N x npts array of inhomogeneous coordinates.
%
% Returns:
% hx - an (N+1) x npts array of homogeneous coordinates with the
% homogeneous scale set to 1
%
... |
github | Ciaran1981/SeAMS-master | plotPoint.m | .m | SeAMS-master/Utilities/MatlabFns/Projective/plotPoint.m | 1,068 | utf_8 | d515fe2aec3bd3915d334310b903a4ba | % PLOTPOINT - Plots point with specified mark and optional text label.
%
% Function to plot 2D points with an optionally specified
% marker and optional text label.
%
% Usage:
% plotPoint(p) where p is a 2D point
% plotPoint(p, 'mark') where mark is say 'r+' or 'g*' etc
% plot... |
github | Ciaran1981/SeAMS-master | lengthRatioConstraint.m | .m | SeAMS-master/Utilities/MatlabFns/Projective/lengthRatioConstraint.m | 1,137 | utf_8 | 587f4507cf32933e2f0468f438c17505 | % lengthRatioConstraint - Affine transform constraints given a length ratio.
%
% Function calculates centre and radius of the constraint
% circle in alpha-beta space generated by having a known
% lenth ratio between two non-parallel line segemnts in
% an affine image
%
% Usage: [c, r] = lengthRatioConstraint(p11... |
github | Ciaran1981/SeAMS-master | fundfromcameras.m | .m | SeAMS-master/Utilities/MatlabFns/Projective/fundfromcameras.m | 1,308 | utf_8 | 89d7618588ec84ececead8d97ea76b3e | % FUNDFROMCAMERAS - Fundamental matrix from camera matrices
%
% Usage: F = fundfromcameras(P1, P2)
%
% Arguments: P1, P2 - Two 3x4 camera matrices
% Returns: F - Fundamental matrix relating the two camera views
%
% See also: FUNDMATRIX, AFFINEFUNDMATRIX
% Reference: Hartley and Zisserman p244
% Copyright (c)... |
github | Ciaran1981/SeAMS-master | circleintersect.m | .m | SeAMS-master/Utilities/MatlabFns/Projective/circleintersect.m | 2,710 | utf_8 | 489ffc783300c34976f2c82fbed8c020 | % CIRCLEINTERSECT - Finds intersection of two circles.
%
% Function to return the intersection points between two circles
% given their centres and radi.
%
% Usage: [i1, i2] = circleintersect(c1, r1, c2, r2, lr)
%
% Where:
% c1 and c2 are 2-vectors specifying the centres of the two circles.
% r1 and r2 ... |
github | Ciaran1981/SeAMS-master | homoTrans.m | .m | SeAMS-master/Utilities/MatlabFns/Projective/homoTrans.m | 879 | utf_8 | bde17d25ed5c319d12d7c6c52fa76ac9 | % HOMOTRANS - homogeneous transformation of points
%
% Function to perform a transformation on homogeneous points/lines
% The resulting points are normalised to have a homogeneous scale of 1
%
% Usage:
% t = homoTrans(P,v);
%
% Arguments:
% P - 3 x 3 or 4 x 4 transformation matrix
% v - ... |
github | Ciaran1981/SeAMS-master | imTrans.m | .m | SeAMS-master/Utilities/MatlabFns/Projective/imTrans.m | 6,645 | utf_8 | fea80d088fd8c2973f2ee271ab3dc146 | % IMTRANS - Homogeneous transformation of an image.
%
% Applies a geometric transform to an image
%
% [newim, newT] = imTrans(im, T, region, sze);
%
% Arguments:
% im - The image to be transformed.
% T - The 3x3 homogeneous transformation matrix.
% region - An optional 4 element vector ... |
github | Ciaran1981/SeAMS-master | affinefundmatrix.m | .m | SeAMS-master/Utilities/MatlabFns/Projective/affinefundmatrix.m | 3,219 | utf_8 | 7cbd1c7c427cf3466f0df1c9c57cd131 | % AFFINEFUNDMATRIX - computes affine fundamental matrix from 4 or more points
%
% Function computes the affine fundamental matrix from 4 or more matching
% points in a stereo pair of images. The Gold Standard algorithm given
% by Hartley and Zisserman p351 (2nd Ed.) is used.
%
% Usage: [F, e1, e2] = affinefundmatri... |
github | Ciaran1981/SeAMS-master | imTransD.m | .m | SeAMS-master/Utilities/MatlabFns/Projective/imTransD.m | 3,965 | utf_8 | 253939b60899cb7418ae8eebee0f8b87 | % IMTRANSD - Homogeneous transformation of an image.
%
% This is a stripped down version of imTrans which does not apply any origin
% shifting to the transformed image
%
% Applies a geometric transform to an image
%
% newim = imTransD(im, T, sze, lhrh);
%
% Arguments:
% im - The image to be transformed.
%... |
github | Ciaran1981/SeAMS-master | hnormalise.m | .m | SeAMS-master/Utilities/MatlabFns/Projective/hnormalise.m | 1,010 | utf_8 | 40eeebb3462ab60fb05b133bf0055baf | % HNORMALISE - Normalises array of homogeneous coordinates to a scale of 1
%
% Usage: nx = hnormalise(x)
%
% Argument:
% x - an Nxnpts array of homogeneous coordinates.
%
% Returns:
% nx - an Nxnpts array of homogeneous coordinates rescaled so
% that the scale values nx(N,:) are all 1.
%
... |
github | Ciaran1981/SeAMS-master | homography2d.m | .m | SeAMS-master/Utilities/MatlabFns/Projective/homography2d.m | 2,493 | utf_8 | 60985e0ab95fe690d769c83adff61080 | % HOMOGRAPHY2D - computes 2D homography
%
% Usage: H = homography2d(x1, x2)
% H = homography2d(x)
%
% Arguments:
% x1 - 3xN set of homogeneous points
% x2 - 3xN set of homogeneous points such that x1<->x2
%
% x - If a single argument is supplied it is assumed ... |
github | Ciaran1981/SeAMS-master | digiplane.m | .m | SeAMS-master/Utilities/MatlabFns/Projective/digiplane.m | 2,368 | utf_8 | 9634b931390f4536b8d7280b8745f6a1 | % DIGIPLANE - Digitise and transform points within a planar region in an image.
%
% This function allows you to digitise points within a planar region of an
% image for which an inverse perspective transformation has been previously
% determined using, say, INVPERSP. The digitised points are then
% transformed into co... |
github | Ciaran1981/SeAMS-master | circle.m | .m | SeAMS-master/Utilities/MatlabFns/Projective/circle.m | 1,226 | utf_8 | 3ce939f9b481cd974576f40a598a69b6 | % CIRCLE - Draws a circle.
%
% Usage: circle(c, r, n, col)
%
% Arguments: c - A 2-vector [x y] specifying the centre.
% r - The radius.
% n - Optional number of sides in the polygonal approximation.
% (defualt is 16 sides)
% col - optional colour, defaults to blue... |
github | Ciaran1981/SeAMS-master | makeinhomogeneous.m | .m | SeAMS-master/Utilities/MatlabFns/Projective/makeinhomogeneous.m | 791 | utf_8 | ce76d362845ed0c7eef257d1d0406795 | % MAKEINHOMOGENEOUS - Converts homogeneous coords to inhomogeneous coordinates
%
% Usage: x = makehomogeneous(hx)
%
% Argument:
% hx - an N x npts array of homogeneous coordinates.
%
% Returns:
% x - an (N-1) x npts array of inhomogeneous coordinates
%
% Warning: If there are any points at infinity ... |
github | Ciaran1981/SeAMS-master | equalAngleConstraint.m | .m | SeAMS-master/Utilities/MatlabFns/Projective/equalAngleConstraint.m | 1,377 | utf_8 | ad2156349de0fe1efde5bee65bc38203 | % equalAngleConstraint - Affine transform constraints given two equal angles.
%
% Function calculates centre and radius of the constraint
% circle in alpha-beta space generated by having two equal
% (but unknown) angles between two pairs of lines in
% an affine image
%
% Usage: [c, r] = equalAngleConstraint(la1... |
github | Ciaran1981/SeAMS-master | homogreprojerr.m | .m | SeAMS-master/Utilities/MatlabFns/Projective/homogreprojerr.m | 1,423 | utf_8 | 15a06a2d240a29dd5d8a3a1e64268057 | % HOMOGREPROJERR
%
% Computes the symmetric reprojection error for points related by a
% homography.
%
% Usage:
% d2 = homogreprojerr(H, x1, x2)
%
% Arguments:
% H - The homography.
% x1, x2 - [ndim x npts] arrays of corresponding homogeneous
% data points.
%
% Retu... |
github | Ciaran1981/SeAMS-master | rq3.m | .m | SeAMS-master/Utilities/MatlabFns/Projective/rq3.m | 2,075 | utf_8 | e3b4214d505526702abed6b2183c76ea | % RQ3 RQ decomposition of 3x3 matrix
%
% Usage: [R,Q] = rq3(A)
%
% Argument: A - 3 x 3 matrix
% Returns: R - Upper triangular 3 x 3 matrix
% Q - 3 x 3 orthonormal rotation matrix
% Such that R*Q = A
%
% The signs of the rows and columns of R and Q are chosen so that the diagonal
% elements of R are ... |
github | Ciaran1981/SeAMS-master | knownAngleConstraint.m | .m | SeAMS-master/Utilities/MatlabFns/Projective/knownAngleConstraint.m | 929 | utf_8 | b51714229fca51b80fc72c837575dd25 | % knownAngleConstraint - Affine transform constraints given a known angle.
%
% Function calculates centre and radius of the constraint
% circle in alpha-beta space generated by having a known
% angle between two lines in an affine image
%
% Usage: [c, r] = knownAngleConstraint(la, lb, theta)
%
% Where: la and l... |
github | Ciaran1981/SeAMS-master | fundmatrix.m | .m | SeAMS-master/Utilities/MatlabFns/Projective/fundmatrix.m | 3,966 | utf_8 | 035de87dbdc38f5d36c84caeb895ca93 | % FUNDMATRIX - computes fundamental matrix from 8 or more points
%
% Function computes the fundamental matrix from 8 or more matching points in
% a stereo pair of images. The normalised 8 point algorithm given by
% Hartley and Zisserman p265 is used. To achieve accurate results it is
% recommended that 12 or more poi... |
github | Ciaran1981/SeAMS-master | hline.m | .m | SeAMS-master/Utilities/MatlabFns/Projective/hline.m | 1,836 | utf_8 | 6b627df996e670c2c7287683e1851639 | % HLINE - Plot 2D lines defined in homogeneous coordinates.
%
% Function for ploting 2D homogeneous lines defined by 2 points
% or a line defined by a single homogeneous vector
%
% Usage: hline(p1,p2) where p1 and p2 are 2D homogeneous points.
% hline(p1,p2,'colour_name') 'black' 'red' 'white' etc
% ... |
github | Ciaran1981/SeAMS-master | homography1d.m | .m | SeAMS-master/Utilities/MatlabFns/Projective/homography1d.m | 2,662 | utf_8 | bf1d84269964988e4400e66cabf14617 | % HOMOGRAPHY1D - computes 1D homography
%
% Usage: H = homography1d(x1, x2)
%
% Arguments:
% x1 - 2xN set of homogeneous points
% x2 - 2xN set of homogeneous points such that x1<->x2
% Returns:
% H - the 2x2 homography such that x2 = H*x1
%
% This code is modelled after the norm... |
github | Ciaran1981/SeAMS-master | decomposecamera.m | .m | SeAMS-master/Utilities/MatlabFns/Projective/decomposecamera.m | 3,283 | utf_8 | 74f6d563e0498193a8e7d05ec90963c1 | % DECOMPOSECAMERA Decomposition of a camera projection matrix
%
% Usage: [K, R, C, pp, pv] = decomposecamera(P);
%
% P is decomposed into the form P = K*[R -R*C]
%
% Argument: P - 3 x 4 camera projection matrix
% Returns:
% K - Calibration matrix of the form
% | ax s x0 |
% ... |
github | Ciaran1981/SeAMS-master | normalise2dpts.m | .m | SeAMS-master/Utilities/MatlabFns/Projective/normalise2dpts.m | 2,361 | utf_8 | 2b9d94a3681186006a3fd47a45faf939 | % NORMALISE2DPTS - normalises 2D homogeneous points
%
% Function translates and normalises a set of 2D homogeneous points
% so that their centroid is at the origin and their mean distance from
% the origin is sqrt(2). This process typically improves the
% conditioning of any equations used to solve homographies, fun... |
github | Ciaran1981/SeAMS-master | hcross.m | .m | SeAMS-master/Utilities/MatlabFns/Projective/hcross.m | 919 | utf_8 | dbb3f3d4ef79e25ca3000ea976409e0c | % HCROSS - Homogeneous cross product, result normalised to s = 1.
%
% Function to form cross product between two points, or lines,
% in homogeneous coodinates. The result is normalised to lie
% in the scale = 1 plane.
%
% Usage: c = hcross(a,b)
%
% Copyright (c) 2000-2005 Peter Kovesi
% School of Computer Science & ... |
github | Ciaran1981/SeAMS-master | upwardcontinue.m | .m | SeAMS-master/Utilities/MatlabFns/Geosci/upwardcontinue.m | 3,839 | utf_8 | a7a1d8416166d9c658b7a7d4bac8770b | % UPWARDCONTINUE Upward continuation for magnetic or gravity potential field data
%
% Usage: [up, psf] = upwardcontinue(im, h, dx, dy)
%
% Arguments: im - Input potential field image
% h - Height to upward continue to (+ve)
% dx, dy - Grid spacing in x and y. The upward continuation height
% ... |
github | Ciaran1981/SeAMS-master | orientationfilter.m | .m | SeAMS-master/Utilities/MatlabFns/Geosci/orientationfilter.m | 6,042 | utf_8 | 9e5fa0a05cdc4d0f3b48c2710e4e91f4 | % ORIENTATIONFILTER Generate orientation selective filterings of an image
%
% Usage: oim = orientationfilter(im, norient, angoverlap, boost, cutoff, histcut)
%
% Arguments: im - Image to be filtered.
% norient - Number of orientations, try 8.
% angoverlap - Angular bandwidth overlap factor. A va... |
github | Ciaran1981/SeAMS-master | relief.m | .m | SeAMS-master/Utilities/MatlabFns/Geosci/relief.m | 5,218 | utf_8 | 8f99e38c832592297aa91384d12779a2 | % RELIEF Generates relief shaded image
%
% Usage: shadeim = relief(im, azimuth, elevation, dx, rgbim)
%
% Arguments: im - Image/heightmap to be relief shaded.
% azimuth - Of light direction in degrees. Zero azimuth points
% upwards and increases clockwise. Defaults to 45.
% elevation - ... |
github | Ciaran1981/SeAMS-master | irelief.m | .m | SeAMS-master/Utilities/MatlabFns/Geosci/irelief.m | 13,014 | utf_8 | f5dec6de9b362a6a4b8ee3a046bf3209 | % IRELIEF Interactive Relief Shading
%
% Usage: irelief(im, rgbim, figNo)
%
% Arguments: im - Image/heightmap to be relief shaded
% rgbim - Optional RGB image to which the shading pattern derived
% from 'im' is applied. Alternatively, rgbim can be a Nx3
% RGB colourmap whic... |
github | Ciaran1981/SeAMS-master | agc.m | .m | SeAMS-master/Utilities/MatlabFns/Geosci/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 | Ciaran1981/SeAMS-master | smoothorient.m | .m | SeAMS-master/Utilities/MatlabFns/Spatial/smoothorient.m | 1,577 | utf_8 | 792640aa0e4acc0b3bf99d63587a382f | % SMOOTHORIENT - applies smoothing to orientation field
%
% Usage: smorient = smoothorient(orient, sigma)
%
% Input:
% orient - Image containing feature normal orientation angles in degrees.
% sigma - Standard deviation of Gaussian to use (try 1)
%
% Returns:
% smorient - Smoothed orientation image.
... |
github | Ciaran1981/SeAMS-master | imtrim.m | .m | SeAMS-master/Utilities/MatlabFns/Spatial/imtrim.m | 767 | utf_8 | 3198c92eac92c39200792c9dc1e94f9d | % IMTRIM - removes a boundary of an image
%
% Usage: trimmedim = imtrim(im, b)
%
% Arguments: im - Image to be trimmed (greyscale or colour)
% b - Width of boundary to be removed
%
% Returns: trimmedim - Trimmed image of size rows-2*b x cols-2*b
%
% See also: IMPAD, IMSETBORDER
% Peter Kovesi
% Ce... |
github | Ciaran1981/SeAMS-master | regionadjacency.m | .m | SeAMS-master/Utilities/MatlabFns/Spatial/regionadjacency.m | 4,510 | utf_8 | c2fb48dec79835eac0afc0d068601942 | % REGIONADJACENCY Computes adjacency matrix for image of labeled segmented regions
%
% Usage: [Am, Al] = regionadjacency(L, connectivity)
%
% Arguments: L - A region segmented image, such as might be produced by a
% graph cut or superpixel algorithm. All pixels in each
% region are la... |
github | Ciaran1981/SeAMS-master | integgausfilt.m | .m | SeAMS-master/Utilities/MatlabFns/Spatial/integgausfilt.m | 2,500 | utf_8 | a2a14a4604cd4a021514fffb77dd587e | % INTEGGAUSFILT - Approximate Gaussian filtering using integral filters
%
% This function approximates Gaussian filtering by repeatedly applying
% averaging filters. The averaging is performed via integral images which
% results in a fixed and very low computational cost that is independent of
% the Gaussian size.
%
%... |
github | Ciaran1981/SeAMS-master | anisodiff.m | .m | SeAMS-master/Utilities/MatlabFns/Spatial/anisodiff.m | 2,600 | utf_8 | 3d6827b7cb6831ab151cc363a892fd5a | % ANISODIFF - Anisotropic diffusion.
%
% Usage:
% diff = anisodiff(im, niter, kappa, lambda, option)
%
% Arguments:
% im - input image
% niter - number of iterations.
% kappa - conduction coefficient 20-100 ?
% lambda - max value of .25 for stability
% option - 1 Perona Ma... |
github | Ciaran1981/SeAMS-master | drawregionboundaries.m | .m | SeAMS-master/Utilities/MatlabFns/Spatial/drawregionboundaries.m | 2,312 | utf_8 | 52e55969a30f9db62b4847f5a14997d4 | % DRAWREGIONBOUNDARIES Draw boundaries of labeled regions in an image
%
% Usage: maskim = drawregionboundaries(l, im, col)
%
% Arguments:
% l - Labeled image of regions.
% im - Optional image to overlay the region boundaries on.
% col - Optional colour specification. Defaults to black. No... |
github | Ciaran1981/SeAMS-master | canny.m | .m | SeAMS-master/Utilities/MatlabFns/Spatial/canny.m | 2,293 | utf_8 | 6bdaaea9bcfecd3c0443e573bdac5381 | % CANNY - Canny edge detection
%
% Function to perform Canny edge detection.
%
% Usage: [gradient or] = canny(im, sigma)
%
% Arguments: im - image to be procesed
% sigma - standard deviation of Gaussian smoothing filter.
% Optional, defaults to 1.
%
% Returns: gradient - edge... |
github | Ciaran1981/SeAMS-master | integralimage.m | .m | SeAMS-master/Utilities/MatlabFns/Spatial/integralimage.m | 1,583 | utf_8 | 625ff486923979d644b6b48a01c2af43 | % INTEGRALIMAGE - computes integral image of an image
%
% Usage: intim = integralimage(im)
%
% This function computes an integral image such that the value of intim(r,c)
% equals sum(sum(im(1:r, 1:c))
%
% An integral image can be used with the function INTEGRALFILTER to perform
% filtering operations (using rectangula... |
github | Ciaran1981/SeAMS-master | slic.m | .m | SeAMS-master/Utilities/MatlabFns/Spatial/slic.m | 14,802 | utf_8 | 6b0c38eeaddd4c3c4c9de2c660dffb6d | % SLIC Simple Linear Iterative Clustering SuperPixels
%
% Implementation of Achanta, Shaji, Smith, Lucchi, Fua and Susstrunk's
% SLIC Superpixels
%
% Usage: [l, Am, Sp, d] = slic(im, k, m, seRadius, colopt, mw)
%
% Arguments: im - Image to be segmented.
% k - Number of desired superpixels. Note that thi... |
github | Ciaran1981/SeAMS-master | nonmaxsuppts.m | .m | SeAMS-master/Utilities/MatlabFns/Spatial/nonmaxsuppts.m | 5,260 | utf_8 | 6399ae2ee34081b954004dc47eec6578 | % NONMAXSUPPTS - Non-maximal suppression for features/corners
%
% Non maxima suppression and thresholding for points generated by a feature
% or corner detector.
%
% Usage: [r,c] = nonmaxsuppts(cim, radius, thresh, im)
% /
% ... |
github | Ciaran1981/SeAMS-master | hysthresh.m | .m | SeAMS-master/Utilities/MatlabFns/Spatial/hysthresh.m | 2,218 | utf_8 | 1083374237be0a6bad69e6afd431e1c0 | % HYSTHRESH - Hysteresis thresholding
%
% Usage: bw = hysthresh(im, T1, T2)
%
% Arguments:
% im - image to be thresholded (assumed to be non-negative)
% T1 - upper threshold value
% T2 - lower threshold value
% (T1 and T2 can be entered in any order, the larger o... |
github | Ciaran1981/SeAMS-master | renumberregions.m | .m | SeAMS-master/Utilities/MatlabFns/Spatial/renumberregions.m | 2,350 | utf_8 | 0bf07a365af7d4978066949f3e98d8a5 | % RENUMBERREGIONS
%
% Usage: [nL, minLabel, maxLabel] = renumberregions(L)
%
% Argument: L - A labeled image segmenting an image into regions, such as
% might be produced by a graph cut or superpixel algorithm.
% All pixels in each region are labeled by an integer.
%
% Returns: nL - ... |
github | Ciaran1981/SeAMS-master | harris.m | .m | SeAMS-master/Utilities/MatlabFns/Spatial/harris.m | 4,704 | utf_8 | db810db41e16c4fc210438eeb81ad3be | % HARRIS - Harris corner detector
%
% Usage: cim = harris(im, sigma)
% [cim, r, c] = harris(im, sigma, thresh, radius, disp)
% [cim, r, c, rsubp, csubp] = harris(im, sigma, thresh, radius, disp)
%
% Arguments:
% im - image to be processed.
% sigma - standard... |
github | Ciaran1981/SeAMS-master | imsetborder.m | .m | SeAMS-master/Utilities/MatlabFns/Spatial/imsetborder.m | 807 | utf_8 | 8dd6e75f6b5240fffbdb56e60521ef9b | % IMSETBORDER - sets pixels on image border to a value
%
% Usage: im = imsetborder(im, b, v)
%
% Arguments:
% im - image
% b - border size
% v - value to set image borders to (defaults to 0)
%
% See also: IMPAD, IMTRIM
% Peter Kovesi
% Centre for Exploration Targeting
% The Universit... |
github | Ciaran1981/SeAMS-master | integralfilter.m | .m | SeAMS-master/Utilities/MatlabFns/Spatial/integralfilter.m | 3,939 | utf_8 | ec95f49a7ef5558aefe8fd9a4309c358 | % INTEGRALFILTER - performs filtering using an integral image
%
% This function exploits an integral image to perform filtering operations
% (using rectangular filters) on an image in time that only depends on the
% image size irrespective of the filter size.
%
% Usage: fim = integralfilter(intim, f)
%
% Arguments: i... |
github | Ciaran1981/SeAMS-master | adaptivethresh.m | .m | SeAMS-master/Utilities/MatlabFns/Spatial/adaptivethresh.m | 5,822 | utf_8 | bc7dac46afe55c2c4fb9c0add2d40792 | % ADAPTIVETHRESH - Wellner's adaptive thresholding
%
% Thresholds an image using a threshold that is varied across the image relative
% to the local mean, or median, at that point in the image. Works quite well on
% text with shadows
%
% Usage: bw = adaptivethresh(im, fsize, t, filterType, thresholdMode)
%
% bw... |
github | Ciaran1981/SeAMS-master | featureorient.m | .m | SeAMS-master/Utilities/MatlabFns/Spatial/featureorient.m | 4,226 | utf_8 | a6493ad9d0ee982914e92bc8b1e31ce3 | % FEATUREORIENT - Estimates the local orientation of features in an edgeimage
%
% Usage: orientim = featureorient(im, gradientsigma,...
% blocksigma, ...
% orientsmoothsigma, ...
% radians)
%
% Arguments: im... |
github | Ciaran1981/SeAMS-master | cleanupregions.m | .m | SeAMS-master/Utilities/MatlabFns/Spatial/cleanupregions.m | 5,516 | utf_8 | c5b7d4595fd7df10edbce6cbb7cc912e | % CLEANUPREGIONS Cleans up small segments in an image of segmented regions
%
% Usage: [seg, Am] = cleanupregions(seg, areaThresh, connectivity)
%
% Arguments: seg - A region segmented image, such as might be produced by a
% graph cut algorithm. All pixels in each region are labeled
% ... |
github | Ciaran1981/SeAMS-master | subpix2d.m | .m | SeAMS-master/Utilities/MatlabFns/Spatial/subpix2d.m | 3,983 | utf_8 | 18d15956198e29a24e64871a95378041 | % SUBPIX2D Sub-pixel locations in 2D image
%
% Usage: [rs, cs] = subpix2d(r, c, L);
%
% Arguments:
% r, c - row, col vectors of extrema to pixel precision.
% L - 2D corner image
%
% Returns:
% rs, cs - row, col vectors of valid extrema to sub-pixel
% precision.
%
% Note that... |
github | Ciaran1981/SeAMS-master | filterregionproperties.m | .m | SeAMS-master/Utilities/MatlabFns/Spatial/filterregionproperties.m | 3,361 | utf_8 | 78fd996bb33dcfb2a24751069b09f3ee | % FILTERREGIONPROPERTIES Filters regions on their property's values
%
% Usage: bw = filterregionproperties(bw, {property, fn, value}, { ... } )
%
% Arguments:
% bw - Binary image
% {property, fn, value} - 3-element cell array consisting of:
% property - String matchi... |
github | Ciaran1981/SeAMS-master | intfilttranspose.m | .m | SeAMS-master/Utilities/MatlabFns/Spatial/intfilttranspose.m | 1,102 | utf_8 | 0007e26379314049c0716d1ff851e36c | % INTFILTTRANSPOSE - transposes an integral filter
%
% Usage: ft = intfilttranspose(f)
%
% Argument: f - an integral image filter as described in the function INTEGRALFILTER
%
% Returns: ft - a transposed version of the filter
%
% See also: INTEGRALFILTER, INTEGRALIMAGE, INTEGAVERAGE
% Copyright (c) 2007 Peter Koves... |
github | Ciaran1981/SeAMS-master | makeregionsdistinct.m | .m | SeAMS-master/Utilities/MatlabFns/Spatial/makeregionsdistinct.m | 2,142 | utf_8 | 87ec3511235a3eefd60cffbc8135de46 | % MAKEREGIONSDISTINCT Ensures labeled segments are distinct
%
% Usage: [seg, maxlabel] = makeregionsdistinct(seg, connectivity)
%
% Arguments: seg - A region segmented image, such as might be produced by a
% superpixel or graph cut algorithm. All pixels in each
% region are labeled by... |
github | Ciaran1981/SeAMS-master | mcleanupregions.m | .m | SeAMS-master/Utilities/MatlabFns/Spatial/mcleanupregions.m | 4,352 | utf_8 | 956767ca7a2a6d8f168c2b2ab86d64f9 | % MCLEANUPREGIONS Morphological clean up of small segments in an image of segmented regions
%
% Usage: [seg, Am] = mcleanupregions(seg, seRadius)
%
% Arguments: seg - A region segmented image, such as might be produced by a
% graph cut algorithm. All pixels in each region are labeled
% ... |
github | Ciaran1981/SeAMS-master | integaverage.m | .m | SeAMS-master/Utilities/MatlabFns/Spatial/integaverage.m | 2,088 | utf_8 | 6ff6d948c4e18c25ee2d9269d186448c | % INTEGAVERAGE - performs averaging filtering using an integral image
%
% Usage: avim = integaverage(im,rad)
%
% Arguments: im - Image to be filtered
% rad - 'Radius' of square region over which averaging is
% performed (rad = 1 implies a 3x3 average)
% Returns: avim ... |
github | Ciaran1981/SeAMS-master | subpix3d.m | .m | SeAMS-master/Utilities/MatlabFns/Spatial/subpix3d.m | 4,434 | utf_8 | 22fda4d036d1bac30b6b36da20187f7a | % SUBPIX3D Sub-pixel locations in 3D volume
%
% Usage: [rs, cs, ss] = subpix3d(r, c, s, L);
%
% Arguments:
% r, c, s - row, col and scale vectors of extrema to pixel precision.
% L - 3D volumetric corner data, or 2D + scale space data.
%
% Returns:
% rs, cs, ss - row, col and scale vectors of val... |
github | Ciaran1981/SeAMS-master | fastradial.m | .m | SeAMS-master/Utilities/MatlabFns/Spatial/fastradial.m | 5,399 | utf_8 | b540902aad74684be591d3126ad87319 | % FASTRADIAL - Loy and Zelinski's fast radial feature detector
%
% An implementation of Loy and Zelinski's fast radial feature detector
%
% Usage: S = fastradial(im, radii, alpha, beta)
%
% Arguments:
% im - Image to be analysed
% radii - Array of integer radius values to be processed
... |
github | Ciaran1981/SeAMS-master | maskimage.m | .m | SeAMS-master/Utilities/MatlabFns/Spatial/maskimage.m | 1,122 | utf_8 | 189c1feb312b970fdf4e22824ef53747 | % MASKIMAGE Apply mask to image
%
% Usage: maskedim = maskimage(im, mask, col)
%
% Arguments: im - Image to be masked
% mask - Binary masking image
% col - Value/colour to be applied to regions where mask == 1
% If im is a colour image col can be a 3-vector
% ... |
github | Ciaran1981/SeAMS-master | impad.m | .m | SeAMS-master/Utilities/MatlabFns/Spatial/impad.m | 1,007 | utf_8 | dbffc182864409600c65556c2136b244 | % IMPAD - adds zeros to the boundary of an image
%
% Usage: paddedim = impad(im, b, v)
%
% Arguments: im - Image to be padded (greyscale or colour)
% b - Width of padding boundary to be added
% v - Optional padding value if you do not want it to be 0.
%
% Returns: paddedim - Padded ... |
github | Ciaran1981/SeAMS-master | finddisconnected.m | .m | SeAMS-master/Utilities/MatlabFns/Spatial/finddisconnected.m | 2,563 | utf_8 | 3e7d83e1dd00f59f9bd54fe42b93428b | % FINDDISCONNECTED find groupings of disconnected labeled regions
%
% Usage: list = finddisconnected(l)
%
% Argument: l - A labeled image segmenting an image into regions, such as
% might be produced by a graph cut or superpixel algorithm.
% All pixels in each region are labeled by an ... |
github | Ciaran1981/SeAMS-master | gaussfilt.m | .m | SeAMS-master/Utilities/MatlabFns/Spatial/gaussfilt.m | 1,114 | utf_8 | 4e021d34f436d86073a1a4fcb135b2b7 | % GAUSSFILT - Small wrapper function for convenient Gaussian filtering
%
% Usage: smim = gaussfilt(im, sigma)
%
% Arguments: im - Image to be smoothed.
% sigma - Standard deviation of Gaussian filter.
%
% Returns: smim - Smoothed image.
%
% If called with sigma = 0 the function immediately returns with ... |
github | Ciaran1981/SeAMS-master | derivative5.m | .m | SeAMS-master/Utilities/MatlabFns/Spatial/derivative5.m | 4,808 | utf_8 | 989b39a3f681a8cad7375573fa1a7a0f | % DERIVATIVE5 - 5-Tap 1st and 2nd discrete derivatives
%
% This function computes 1st and 2nd derivatives of an image using the 5-tap
% coefficients given by Farid and Simoncelli. The results are significantly
% more accurate than MATLAB's GRADIENT function on edges that are at angles
% other than vertical or horizont... |
github | Ciaran1981/SeAMS-master | solveinteg.m | .m | SeAMS-master/Utilities/MatlabFns/Spatial/solveinteg.m | 3,146 | utf_8 | 0b0df74b4066fbe41ed1f8a44f09200f | % SOLVEINTEG
%
% This function is used by INTEGGAUSFILT to solve for the multiple averaging
% filter widths needed to approximate a Gaussian of desired standard deviation.
%
% Usage: [wl, wu, m, sigmaActual] = solveinteg(sigma, n)
%
% Arguments: sigma - Desired standard deviation of Gaussian. This should not
% ... |
github | Ciaran1981/SeAMS-master | derivative7.m | .m | SeAMS-master/Utilities/MatlabFns/Spatial/derivative7.m | 3,752 | utf_8 | 59ac2311726917925b934ce48b7ae87f | % DERIVATIVE5 - 7-Tap 1st and 2nd discrete derivatives
%
% This function computes 1st and 2nd derivatives of an image using the 7-tap
% coefficients given by Farid and Simoncelli. The results are significantly
% more accurate than MATLAB's GRADIENT function on edges that are at angles
% other than vertical or horizont... |
github | Ciaran1981/SeAMS-master | nonmaxsup.m | .m | SeAMS-master/Utilities/MatlabFns/Spatial/nonmaxsup.m | 6,606 | utf_8 | 175ee530f04d95568bfbdb8b17524c7f | % NONMAXSUP - Non-maxima suppression
%
% Usage:
% [im,location] = nonmaxsup(inimage, orient, radius);
%
% Function for performing non-maxima suppression on an image using an
% orientation image. It is assumed that the orientation image gives
% feature normal orientation angles in degrees (0-180).
%
% Input:
... |
github | Ciaran1981/SeAMS-master | integgaussfilt.m | .m | SeAMS-master/Utilities/MatlabFns/Spatial/integgaussfilt.m | 4,116 | utf_8 | 957cc904a9b7d1545d8c3094dfc9e044 | % INTEGGAUSSFILT - Approximate Gaussian filtering using integral filters
%
% This function approximates Gaussian filtering by repeatedly applying
% averaging filters. The averaging is performed via integral images which
% results in a fixed and very low computational cost that is independent of
% the Gaussian size.
%
... |
github | Ciaran1981/SeAMS-master | rotx.m | .m | SeAMS-master/Utilities/MatlabFns/Rotations/rotx.m | 589 | utf_8 | bc55598911b9d73eb90ab44cab59a9db | % ROTX - Homogeneous transformation for a rotation about the x axis
%
% Usage: T = rotx(theta)
%
% Argument: theta - rotation about x axis
% Returns: T - 4x4 homogeneous transformation matrix
%
% See also: TRANS, ROTY, ROTZ, INVHT
% Copyright (c) 2001 Peter Kovesi
% School of Computer Science & Software Engin... |
github | Ciaran1981/SeAMS-master | angleaxisrotate.m | .m | SeAMS-master/Utilities/MatlabFns/Rotations/angleaxisrotate.m | 1,383 | utf_8 | 9ac58e5db9309d73f49b53b0f9c99b6d | % ANGLEAXISROTATE - uses angle axis descriptor to rotate vectors
%
% Usage: v2 = angleaxisrotate(t, v)
%
% Arguments: t - 3-vector giving rotation axis with magnitude equal to the
% rotation angle in radians.
% v - 4xn matrix of homogeneous 4-vectors to be rotated or
% 3... |
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