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github | mhrztrk/thesis-src-master | homoTrans.m | .m | thesis-src-master/toolboxes/Kovesi/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 | mhrztrk/thesis-src-master | imTrans.m | .m | thesis-src-master/toolboxes/Kovesi/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 | mhrztrk/thesis-src-master | affinefundmatrix.m | .m | thesis-src-master/toolboxes/Kovesi/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 | mhrztrk/thesis-src-master | imTransD.m | .m | thesis-src-master/toolboxes/Kovesi/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 | mhrztrk/thesis-src-master | hnormalise.m | .m | thesis-src-master/toolboxes/Kovesi/Projective/hnormalise.m | 1,007 | utf_8 | 0746cbe968e6a6c352eb7a61604922dd | % 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 | mhrztrk/thesis-src-master | homography2d.m | .m | thesis-src-master/toolboxes/Kovesi/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 | mhrztrk/thesis-src-master | digiplane.m | .m | thesis-src-master/toolboxes/Kovesi/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 | mhrztrk/thesis-src-master | circle.m | .m | thesis-src-master/toolboxes/Kovesi/Projective/circle.m | 1,218 | utf_8 | ba9706e6c9e81a1fc3191f944d5891d2 | % 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 | mhrztrk/thesis-src-master | makeinhomogeneous.m | .m | thesis-src-master/toolboxes/Kovesi/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 | mhrztrk/thesis-src-master | equalAngleConstraint.m | .m | thesis-src-master/toolboxes/Kovesi/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 | mhrztrk/thesis-src-master | homogreprojerr.m | .m | thesis-src-master/toolboxes/Kovesi/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 | mhrztrk/thesis-src-master | rq3.m | .m | thesis-src-master/toolboxes/Kovesi/Projective/rq3.m | 1,834 | utf_8 | c4bc67ad27ec99fe1dd731b4d56762c1 | % 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 | mhrztrk/thesis-src-master | knownAngleConstraint.m | .m | thesis-src-master/toolboxes/Kovesi/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 | mhrztrk/thesis-src-master | fundmatrix.m | .m | thesis-src-master/toolboxes/Kovesi/Projective/fundmatrix.m | 3,961 | utf_8 | 250dfa8051640daab30229f35667f4d6 | % 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 | mhrztrk/thesis-src-master | hline.m | .m | thesis-src-master/toolboxes/Kovesi/Projective/hline.m | 1,584 | utf_8 | 7887599478d2ebb7e50fdef565f8f3f5 | % 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 | mhrztrk/thesis-src-master | homography1d.m | .m | thesis-src-master/toolboxes/Kovesi/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 | mhrztrk/thesis-src-master | decomposecamera.m | .m | thesis-src-master/toolboxes/Kovesi/Projective/decomposecamera.m | 3,156 | utf_8 | efd38c35a47ed57382a1f129db6e8395 | % 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 | mhrztrk/thesis-src-master | normalise2dpts.m | .m | thesis-src-master/toolboxes/Kovesi/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 | mhrztrk/thesis-src-master | hcross.m | .m | thesis-src-master/toolboxes/Kovesi/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 | mhrztrk/thesis-src-master | smoothorient.m | .m | thesis-src-master/toolboxes/Kovesi/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 | mhrztrk/thesis-src-master | imtrim.m | .m | thesis-src-master/toolboxes/Kovesi/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 | mhrztrk/thesis-src-master | regionadjacency.m | .m | thesis-src-master/toolboxes/Kovesi/Spatial/regionadjacency.m | 2,623 | utf_8 | 1789916c81e86fc3d25de699b6360e0e | % REGIONADJACENCY Computes adjacency matrix for an image of segmented regions
%
% Usage: [Am, Al] = regionadjacency(L)
%
% Argument: L - A region segmented image, such as might be produced by a
% graph cut algorithm. All pixels in each region are labeled
% by an integer.
%
% Returns... |
github | mhrztrk/thesis-src-master | integgausfilt.m | .m | thesis-src-master/toolboxes/Kovesi/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 | mhrztrk/thesis-src-master | anisodiff.m | .m | thesis-src-master/toolboxes/Kovesi/Spatial/anisodiff.m | 2,612 | utf_8 | 44cb5f8f44aea3b4e24ab8a438b049be | % 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 | mhrztrk/thesis-src-master | canny.m | .m | thesis-src-master/toolboxes/Kovesi/Spatial/canny.m | 1,902 | utf_8 | 1911475f231bbdcdcfa5ba814d1267a6 | % 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
% (typically 1)
%
% Returns: gradient - edge strength im... |
github | mhrztrk/thesis-src-master | integralimage.m | .m | thesis-src-master/toolboxes/Kovesi/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 | mhrztrk/thesis-src-master | nonmaxsuppts.m | .m | thesis-src-master/toolboxes/Kovesi/Spatial/nonmaxsuppts.m | 4,944 | utf_8 | 7c2736f3cc990cf9fe61f0bd1339f5dc | % 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 | mhrztrk/thesis-src-master | hysthresh.m | .m | thesis-src-master/toolboxes/Kovesi/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 | mhrztrk/thesis-src-master | renumberregions.m | .m | thesis-src-master/toolboxes/Kovesi/Spatial/renumberregions.m | 1,683 | utf_8 | 8bd81f22349e2b6303451b7c2b11b09d | % RENUMBERREGIONS
%
% Usage: nL = renumberregions(L)
%
% Argument: L - A region segmented image, such as might be produced by a
% graph cut algorithm. All pixels in each region are labeled
% by an integer.
%
% Returns: nL - A relabeled version of L so that label numbers form a
% ... |
github | mhrztrk/thesis-src-master | harris.m | .m | thesis-src-master/toolboxes/Kovesi/Spatial/harris.m | 4,707 | utf_8 | 9123c3c21835dfa4d233abe149d6620d | % 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 | mhrztrk/thesis-src-master | imsetborder.m | .m | thesis-src-master/toolboxes/Kovesi/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 | mhrztrk/thesis-src-master | integralfilter.m | .m | thesis-src-master/toolboxes/Kovesi/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 | mhrztrk/thesis-src-master | adaptivethresh.m | .m | thesis-src-master/toolboxes/Kovesi/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 | mhrztrk/thesis-src-master | cleanupregions.m | .m | thesis-src-master/toolboxes/Kovesi/Spatial/cleanupregions.m | 4,161 | utf_8 | 7330f3a2c76802cded3d0433012af4af | % CLEANUPREGIONS Cleans up small segments in an image of segmented regions
%
% Usage: seg = cleanupregions(seg, areaThresh)
%
% Arguments: seg - A region segmented image, such as might be produced by a
% graph cut algorithm. All pixels in each region are labeled
% by an integer.
% ... |
github | mhrztrk/thesis-src-master | subpix2d.m | .m | thesis-src-master/toolboxes/Kovesi/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 | mhrztrk/thesis-src-master | intfilttranspose.m | .m | thesis-src-master/toolboxes/Kovesi/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 | mhrztrk/thesis-src-master | integaverage.m | .m | thesis-src-master/toolboxes/Kovesi/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 | mhrztrk/thesis-src-master | subpix3d.m | .m | thesis-src-master/toolboxes/Kovesi/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 | mhrztrk/thesis-src-master | fastradial.m | .m | thesis-src-master/toolboxes/Kovesi/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 | mhrztrk/thesis-src-master | impad.m | .m | thesis-src-master/toolboxes/Kovesi/Spatial/impad.m | 717 | utf_8 | 9859031cbab9e1bbdd1fa763c54fdaef | % IMPAD - adds zeros to the boundary of an image
%
% Usage: paddedim = impad(im, b)
%
% Arguments: im - Image to be padded (greyscale or colour)
% b - Width of padding boundary to be added
%
% Returns: paddedim - Padded image of size rows+2*b x cols+2*b
%
% See also: IMTRIM, IMSETBORDER
% Peter Ko... |
github | mhrztrk/thesis-src-master | gaussfilt.m | .m | thesis-src-master/toolboxes/Kovesi/Spatial/gaussfilt.m | 892 | utf_8 | 266e718eee73f61a8bc07650565a1692 | % 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.
%
% See also: INTEGGAUSSFILT
% Peter Kovesi
% Centre for Explorti... |
github | mhrztrk/thesis-src-master | derivative5.m | .m | thesis-src-master/toolboxes/Kovesi/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 | mhrztrk/thesis-src-master | solveinteg.m | .m | thesis-src-master/toolboxes/Kovesi/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 | mhrztrk/thesis-src-master | derivative7.m | .m | thesis-src-master/toolboxes/Kovesi/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 | mhrztrk/thesis-src-master | nonmaxsup.m | .m | thesis-src-master/toolboxes/Kovesi/Spatial/nonmaxsup.m | 6,600 | utf_8 | f72536506a96132d3571ac8ec2148caf | % 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 | mhrztrk/thesis-src-master | integgaussfilt.m | .m | thesis-src-master/toolboxes/Kovesi/Spatial/integgaussfilt.m | 4,030 | utf_8 | 095058649c6275863b06e3025c490126 | % 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 | mhrztrk/thesis-src-master | rotx.m | .m | thesis-src-master/toolboxes/Kovesi/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 | mhrztrk/thesis-src-master | angleaxisrotate.m | .m | thesis-src-master/toolboxes/Kovesi/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... |
github | mhrztrk/thesis-src-master | homotrans.m | .m | thesis-src-master/toolboxes/Kovesi/Rotations/homotrans.m | 1,371 | utf_8 | 8fc0c2c8b73dcccc47ba10e8a451beee | % HOMOTRANS - Homogeneous transformation of points/lines
%
% Function to perform a transformation on 2D or 3D homogeneous coordinates
% The resulting coordinates are normalised to have a homogeneous scale of 1
%
% Usage:
% t = homotrans(P, v);
%
% Arguments:
% P - 3 x 3 or 4 x 4 homogeneous transfo... |
github | mhrztrk/thesis-src-master | trans.m | .m | thesis-src-master/toolboxes/Kovesi/Rotations/trans.m | 708 | utf_8 | c2bc04ae87a1f56d814ee75d140cea19 | % TRANS - Homogeneous transformation for a translation by x, y, z
%
% Usage: T = trans(x, y, z)
% T = trans(v)
%
% Arguments: x,y,z - translations in x,y and z, or alternatively
% v - 3-vector defining x, y and z.
% Returns: T - 4x4 homogeneous transformation matrix
%
% See also: ROTX, RO... |
github | mhrztrk/thesis-src-master | plotframe.m | .m | thesis-src-master/toolboxes/Kovesi/Rotations/plotframe.m | 1,677 | utf_8 | 40c9bb130ec46ca33912f804e87f2eac | % PLOTFRAME - plots a coordinate frame specified by a homogeneous transform
%
% Usage: function plotframe(T, len, label)
%
% Arguments:
% T - 4x4 homogeneous transform
% len - length of axis arms to plot (defaults to 1)
% label - text string to append to x,y,z labels on axes
%
% len and label are optio... |
github | mhrztrk/thesis-src-master | newangleaxis.m | .m | thesis-src-master/toolboxes/Kovesi/Rotations/newangleaxis.m | 1,101 | utf_8 | 4ad89dd95a736dff8b3603430648964c | % NEWANGLEAXIS - Constructs angle-axis descriptor
%
% Usage: t = newangleaxis(theta, axis)
%
% Arguments: theta - angle of rotation
% axis - 3-vector defining axis of rotation
% Returns: t - 3-vector giving rotation axis with magnitude equal to the
% rotation angle in radians.
%
% S... |
github | mhrztrk/thesis-src-master | rotz.m | .m | thesis-src-master/toolboxes/Kovesi/Rotations/rotz.m | 593 | utf_8 | 485891081a31d4907a07ce934642fea2 | % ROTZ - Homogeneous transformation for a rotation about the z axis
%
% Usage: T = rotz(theta)
%
% Argument: theta - rotation about z axis
% Returns: T - 4x4 homogeneous transformation matrix
%
% See also: TRANS, ROTX, ROTY, INVHT
% Copyright (c) 2001 Peter Kovesi
% School of Computer Science & Software Engin... |
github | mhrztrk/thesis-src-master | angleaxis2matrix.m | .m | thesis-src-master/toolboxes/Kovesi/Rotations/angleaxis2matrix.m | 1,762 | utf_8 | 16a973af5909776b8684cea956980ebb | % ANGLEAXIS2MATRIX - converts angle-axis descriptor to 4x4 homogeneous
% transformation matrix
%
% Usage: T = amgleaxis2matrix(t)
%
% Argument: t - 3-vector giving rotation axis with magnitude equal to the
% rotation angle in radians.
% Returns: T - 4x4 Homogeneous transformation matrix
%
% See a... |
github | mhrztrk/thesis-src-master | matrix2quaternion.m | .m | thesis-src-master/toolboxes/Kovesi/Rotations/matrix2quaternion.m | 2,010 | utf_8 | ad7a1983aceaa9953be167eddabb22ae | % MATRIX2QUATERNION - Homogeneous matrix to quaternion
%
% Converts 4x4 homogeneous rotation matrix to quaternion
%
% Usage: Q = matrix2quaternion(T)
%
% Argument: T - 4x4 Homogeneous transformation matrix
% Returns: Q - a quaternion in the form [w, xi, yj, zk]
%
% See Also QUATERNION2MATRIX
% Copyright (c) 2008 ... |
github | mhrztrk/thesis-src-master | vector2quaternion.m | .m | thesis-src-master/toolboxes/Kovesi/Rotations/vector2quaternion.m | 563 | utf_8 | a87aa8408a94f8010721a2ea603c64f9 | % VECTOR2QUATERNION - embeds 3-vector in a quaternion representation
%
% Usage: Q = vector2quaternion(v)
%
% Argument: v - 3-vector
% Returns: Q - Quaternion given by [0; v(:)]
%
% See also: NEWQUATERNION, QUATERNIONROTATE, QUATERNIONPRODUCT, QUATERNIONCONJUGATE
% Copyright (c) 2008 Peter Kovesi
% School of Compute... |
github | mhrztrk/thesis-src-master | invht.m | .m | thesis-src-master/toolboxes/Kovesi/Rotations/invht.m | 505 | utf_8 | 62f8fca3096c7b08ba22952fef7e6416 | % INVHT - inverse of a homogeneous transformation matrix
%
% Usage: Tinv = invht(T)
%
% Argument: T - 4x4 homogeneous transformation matrix
% Returns: Tinv - inverse
%
% See also: TRANS, ROTX, ROTY, ROTZ
% Copyright (c) 2001 Peter Kovesi
% School of Computer Science & Software Engineering
% The University of ... |
github | mhrztrk/thesis-src-master | roty.m | .m | thesis-src-master/toolboxes/Kovesi/Rotations/roty.m | 589 | utf_8 | 1523f4098a8a375de8eed1c69ae75c92 | % ROTY - Homogeneous transformation for a rotation about the y axis
%
% Usage: T = roty(theta)
%
% Argument: theta - rotation about y axis
% Returns: T - 4x4 homogeneous transformation matrix
%
% See also: TRANS, ROTX, ROTZ, INVHT
% Copyright (c) 2001 Peter Kovesi
% School of Computer Science & Software Engin... |
github | mhrztrk/thesis-src-master | invrpy.m | .m | thesis-src-master/toolboxes/Kovesi/Rotations/invrpy.m | 1,251 | utf_8 | 327fc230e354d616448b0620e8b51b4f | % INVRPY - inverse of Roll Pitch Yaw transform
%
% Usage: [rpy1, rpy2] = invrpy(RPY)
%
% Argument: RPY - 4x4 Homogeneous transformation matrix or 3x3 rotation matrix
% Returns: rpy1 = [phi1, theta1, psi1] - the 1st solution and
% rpy2 = [phi2, theta2, psi2] - the 2nd solution
%
% rotx(phi1)*roty(theta1)*... |
github | mhrztrk/thesis-src-master | normaliseangleaxis.m | .m | thesis-src-master/toolboxes/Kovesi/Rotations/normaliseangleaxis.m | 995 | utf_8 | a160233e601e4a5bf231afef48739445 | % NORMALISEANGLEAXIS - normalises angle-axis descriptor
%
% Function normalises theta so that it has maximum magnitude of pi to ensure one-to-one
% mapping between angle-axis descriptor and resulting rotation
%
% Usage: t2 = normaliseangleaxis(t)
%
% Argument: t - 3-vector giving rotation axis with magnitude equal t... |
github | mhrztrk/thesis-src-master | quaternionconjugate.m | .m | thesis-src-master/toolboxes/Kovesi/Rotations/quaternionconjugate.m | 525 | utf_8 | d7df86d9770e7881f0cda73f664a8be5 | % QUATERNIONCONJUGATE - Conjugate of a quaternion
%
% Usage: Qconj = quaternionconjugate(Q)
%
% Argument: Q - Quaternions in the form Q = [Qw Qi Qj Qk]
% Returns: Qconj - Conjugate
%
% See also: NEWQUATERNION, QUATERNIONROTATE, QUATERNIONPRODUCT
% Copyright (c) 2008 Peter Kovesi
% School of Computer Science & So... |
github | mhrztrk/thesis-src-master | dhtrans.m | .m | thesis-src-master/toolboxes/Kovesi/Rotations/dhtrans.m | 1,161 | utf_8 | 817bf7d3f603627a2da4773fefc67097 | % DHTRANS - computes Denavit Hartenberg matrix
%
% This function calculates the 4x4 homogeneous transformation matrix, representing
% the Denavit Hartenberg matrix, given link parameters of joint angle, length, joint
% offset and twist.
%
% Usage: T = DHtrans(theta, offset, length, twist)
%
% Arguments: theta - joint... |
github | mhrztrk/thesis-src-master | matrix2angleaxis.m | .m | thesis-src-master/toolboxes/Kovesi/Rotations/matrix2angleaxis.m | 2,082 | utf_8 | a78c0e321cb8ec55fa4dfcdedfa9ac77 | % MATRIX2ANGLEAXIS - Homogeneous matrix to angle-axis description
%
% Usage: t = matrix2angleaxis(T)
%
% Argument: T - 4x4 Homogeneous transformation matrix
% Returns: t - 3-vector giving rotation axis with magnitude equal to the
% rotation angle in radians.
%
% See also: ANGLEAXIS2MATRIX, ANGLEAXI... |
github | mhrztrk/thesis-src-master | quaternionproduct.m | .m | thesis-src-master/toolboxes/Kovesi/Rotations/quaternionproduct.m | 818 | utf_8 | bcfe792d9518a1c110b9957970f4f7c8 | % QUATERNIONPRODUCT - Computes product of two quaternions
%
% Usage: Q = quaternionproduct(A, B)
%
% Arguments: A, B - Quaternions assumed to be 4-vectors in the
% form A = [Aw Ai Aj Ak]
% Returns: Q - Quaternion product
%
% See also: NEWQUATERNION, QUATERNIONROTATE, QUATERNIONCONJUGATE
% Copyr... |
github | mhrztrk/thesis-src-master | quaternion2matrix.m | .m | thesis-src-master/toolboxes/Kovesi/Rotations/quaternion2matrix.m | 1,413 | utf_8 | 7296cadf62f6ca9273e726ffd7e19d95 | % QUATERNION2MATRIX - Quaternion to a 4x4 homogeneous transformation matrix
%
% Usage: T = quaternion2matrix(Q)
%
% Argument: Q - a quaternion in the form [w xi yj zk]
% Returns: T - 4x4 Homogeneous rotation matrix
%
% See also MATRIX2QUATERNION, NEWQUATERNION, QUATERNIONROTATE
% Copyright (c) 2008 Peter Kovesi
... |
github | mhrztrk/thesis-src-master | newquaternion.m | .m | thesis-src-master/toolboxes/Kovesi/Rotations/newquaternion.m | 647 | utf_8 | a36af1ff9a23186bd42b779523671cea | % NEWQUATERNION - Construct quaternion
%
% Q = newquaternion(theta, axis)
%
% Arguments: theta - angle of rotation
% axis - 3-vector defining axis of rotation
% Returns: Q - a quaternion in the form [w xi yj zk]
%
% See Also: QUATERNION2MATRIX, MATRIX2QUATERNION, QUATERNIONROTATE
% Copyright (c) ... |
github | mhrztrk/thesis-src-master | quaternionrotate.m | .m | thesis-src-master/toolboxes/Kovesi/Rotations/quaternionrotate.m | 2,343 | utf_8 | f2d3306a478a187944ccd081efd63482 | % QUATERNIONROTATE - Rotates a 3D vector by a quaternion
%
% Usage: vnew = quaternionrotate(Q, v)
%
% Arguments: Q - a quaternion in the form [w xi yj zk]
% v - a vector to rotate, either an inhomogeneous 3-vector or a
% homogeneous 4-vector
% Returns: vnew - rotated vector
%
% See also MATRI... |
github | mhrztrk/thesis-src-master | inveuler.m | .m | thesis-src-master/toolboxes/Kovesi/Rotations/inveuler.m | 1,220 | utf_8 | 5ebf0b9f54aead905ee1300724228adc | % INVEULER - inverse of Euler transform
%
% Usage: [euler1, euler2] = inveuler(T)
%
% Argument: T - 4x4 Homogeneous transformation matrix or 3x3 rotation matrix
% Returns: euler1 = [phi1, theta1, psi1] - the 1st solution and,
% euler2 = [phi2, theta2, psi2] - the 2nd solution
%
% rotz(phi1)*roty(theta1)*rot... |
github | mhrztrk/thesis-src-master | findendsjunctions.m | .m | thesis-src-master/toolboxes/Kovesi/LineSegments/findendsjunctions.m | 3,378 | utf_8 | 9de4b89d8f3794b533f458929bea85db | % FINDENDSJUNCTIONS - find junctions and endings in a line/edge image
%
% Usage: [rj, cj, re, ce] = findendsjunctions(edgeim, disp)
%
% Arguments: edgeim - A binary image marking lines/edges in an image. It is
% assumed that this is a thinned or skeleton image (or
% nearly s... |
github | mhrztrk/thesis-src-master | selectseg.m | .m | thesis-src-master/toolboxes/Kovesi/LineSegments/selectseg.m | 3,097 | utf_8 | bdbe2a909309c465b0131e308d8ddc32 | % SELECTSEG - Interactive selection of linesegments with mouse.
%
% Usage: segs = selectseg(seglist);
%
% seglist - an Nx4 array storing line segments in the form
% [x1 y1 x2 y2
% x1 y1 x2 y2
% . . ] etc
%
%
% See al... |
github | mhrztrk/thesis-src-master | maxlinedev.m | .m | thesis-src-master/toolboxes/Kovesi/LineSegments/maxlinedev.m | 2,478 | utf_8 | 64cc6d88009aa2a148c843e2d4041218 | % MAXLINEDEV - Find max deviation from a line in an edge contour.
%
% Function finds the point of maximum deviation from a line joining the
% endpoints of an edge contour.
%
% Usage: [maxdev, index, D, totaldev] = maxlinedev(x,y)
%
% Arguments:
% x, y - arrays of x,y (col,row) indicies of connected pixels... |
github | mhrztrk/thesis-src-master | drawedgelist.m | .m | thesis-src-master/toolboxes/Kovesi/LineSegments/drawedgelist.m | 3,351 | utf_8 | 6495437c55e3ebd001ca3d7f3a5f3514 | % DRAWEDGELIST - plots pixels in edgelists
%
% Usage: drawedgelist(edgelist, rowscols, lw, col, figno)
%
% edgelist - Cell array of edgelists in the form
% { [r1 c1 [r1 c1 etc }
% ...
% rN cN] ....]
% rowscols - Optional 2 element ve... |
github | mhrztrk/thesis-src-master | lineseg.m | .m | thesis-src-master/toolboxes/Kovesi/LineSegments/lineseg.m | 3,017 | utf_8 | ff2e4a5d3f9faabdf548561ed00b22b6 | % LINESEG - Form straight line segements from an edge list.
%
% Usage: seglist = lineseg(edgelist, tol)
%
% Arguments: edgelist - Cell array of edgelists where each edgelist is an
% Nx2 array of (row col) coords.
% tol - Maximum deviation from straight line before a
% ... |
github | mhrztrk/thesis-src-master | cleanedgelist.m | .m | thesis-src-master/toolboxes/Kovesi/LineSegments/cleanedgelist.m | 13,314 | utf_8 | a79468f2b92f2ce262730a04d766d643 | % CLEANEDGELIST - remove short edges from a set of edgelists
%
% Function to clean up a set of edge lists generated by EDGELINK so that
% isolated edges and spurs that are shorter that a minimum length are removed.
% This code can also be use with a set of line segments generated by LINESEG.
%
% Usage: nedgelist = clea... |
github | mhrztrk/thesis-src-master | edgelink.m | .m | thesis-src-master/toolboxes/Kovesi/LineSegments/edgelink.m | 13,346 | utf_8 | fecef60a1c780d3e1e01a86d7dd94950 | % EDGELINK - Link edge points in an image into lists
%
% Usage: [edgelist edgeim] = edgelink(im, minlength, location)
%
% Arguments: im - Binary edge image, it is assumed that edges
% have been thinned.
% minlength - Optional minimum edge length of interest, defaults
% ... |
github | mhrztrk/thesis-src-master | edgelist2image.m | .m | thesis-src-master/toolboxes/Kovesi/LineSegments/edgelist2image.m | 2,027 | utf_8 | 5c5436b3f23a712f883ddb43a21e1d1c | % EDGELIST2IMAGE - transfers edgelist data back into a 2D image array
%
% Usage: im = edgelist2image(edgelist, rowscols)
%
% edgelist - Cell array of edgelists in the form
% { [r1 c1 [r1 c1 etc }
% ...
% rN cN] ....]
% rowscols - Opt... |
github | mhrztrk/thesis-src-master | bandpassfilter.m | .m | thesis-src-master/toolboxes/Kovesi/FrequencyFilt/bandpassfilter.m | 1,514 | utf_8 | d98c0b715b1b05c4e8c5e415a260dd2c | % BANDPASSFILTER - Constructs a band-pass butterworth filter
%
% usage: f = bandpassfilter(sze, cutin, cutoff, n)
%
% where: sze is a two element vector specifying the size of filter
% to construct [rows cols].
% cutin and cutoff are the frequencies defining the band pass 0 - 0.5
% n ... |
github | mhrztrk/thesis-src-master | highboostfilter.m | .m | thesis-src-master/toolboxes/Kovesi/FrequencyFilt/highboostfilter.m | 1,962 | utf_8 | ada657e25d617c134fb03bf410b0be5b | % HIGHBOOSTFILTER - Constructs a high-boost Butterworth filter.
%
% usage: f = highboostfilter(sze, cutoff, n, boost)
%
% where: sze is a two element vector specifying the size of filter
% to construct [rows cols].
% cutoff is the cutoff frequency of the filter 0 - 0.5.
% n is the ... |
github | mhrztrk/thesis-src-master | invfft2.m | .m | thesis-src-master/toolboxes/Kovesi/FrequencyFilt/invfft2.m | 250 | utf_8 | 41b97c8ab7dc15522b2c5a414bf55b38 | % INVFFT2 - takes inverse fft and returns real part
%
% Function to `wrap up' taking the inverse Fourier transform
% and extracting the real part into the one operation
% Peter Kovesi October 1999
function ift = invfft2(ft)
ift = real(ifft2(ft));
|
github | mhrztrk/thesis-src-master | lowpassfilter.m | .m | thesis-src-master/toolboxes/Kovesi/FrequencyFilt/lowpassfilter.m | 2,448 | utf_8 | 1bdb6b9b70b06af9d2bc12b6b877da54 | % LOWPASSFILTER - Constructs a low-pass butterworth filter.
%
% usage: f = lowpassfilter(sze, cutoff, n)
%
% where: sze is a two element vector specifying the size of filter
% to construct [rows cols].
% cutoff is the cutoff frequency of the filter 0 - 0.5
% n is the order of the f... |
github | mhrztrk/thesis-src-master | imspect.m | .m | thesis-src-master/toolboxes/Kovesi/FrequencyFilt/imspect.m | 4,268 | utf_8 | 509f5451a2768b2e47bc1d6b697ada2c | % IMSPECT - Plots image amplitude spectrum averaged over all orientations.
%
% Usage: [amp, f, slope] = imspect(im, nbins, lowcut)
% \ /
% optional
% Arguments:
% im - Image to be analysed.
% nbins - ... |
github | mhrztrk/thesis-src-master | psf.m | .m | thesis-src-master/toolboxes/Kovesi/FrequencyFilt/psf.m | 2,323 | utf_8 | de5c27f8dd4eb69a3ae36c1be3f20990 | % PSF - Generates point spread functions for use with deconvolution fns.
%
% This function can generate a variety function shapes based around the
% Butterworth filter. In plan view the filter can be elliptical and at
% any orientation. The `squareness/roundness' of the shape can also be
% manipulated.
%
% Usag... |
github | mhrztrk/thesis-src-master | highpassfilter.m | .m | thesis-src-master/toolboxes/Kovesi/FrequencyFilt/highpassfilter.m | 1,443 | utf_8 | 78f60a0dd6f0ef66653d547868fad1f9 | % HIGHPASSFILTER - Constructs a high-pass butterworth filter.
%
% usage: f = highpassfilter(sze, cutoff, n)
%
% where: sze is a two element vector specifying the size of filter
% to construct [rows cols].
% cutoff is the cutoff frequency of the filter 0 - 0.5
% n is the order of t... |
github | mhrztrk/thesis-src-master | circsine.m | .m | thesis-src-master/toolboxes/Kovesi/FrequencyFilt/circsine.m | 4,364 | utf_8 | 4b2d3f6974bd3cd11dde7d3b2a600790 | % CIRCSINE Generates circular sine wave grating
% Can also be use to construct phase congruent patterns
%
% Usage: im = circsine(sze, wavelength, nScales, ampExponent, offset, p, trim)
%
% Arguments:
% sze - The size of the square image to be produced.
% wavelength - The wavelength in pixe... |
github | mhrztrk/thesis-src-master | starsine.m | .m | thesis-src-master/toolboxes/Kovesi/FrequencyFilt/starsine.m | 2,906 | utf_8 | 929263192b6c499585f5af175f649a83 | % STARSINE Generates phase congruent star shaped sine wave grating
%
% Usage: im = starsine(sze, nCycles, nScales, ampExponent, offset)
%
% Arguments:
% sze - The size of the square image to be produced.
% nCycles - The number of sine wave cycles around centre point.
% ... |
github | mhrztrk/thesis-src-master | freqcomp.m | .m | thesis-src-master/toolboxes/Kovesi/FrequencyFilt/freqcomp.m | 5,474 | utf_8 | 58a18bdbdc50fca6a82844487445c5ad | % FREQCOMP - Demonstrates image reconstruction from Fourier components
%
% Usage: recon = freqcomp(im, Npts, delay)
%
% Arguments: im - Image to be reconstructed.
% Npts - Number of frequency components to consider
% (defaults to 50).
% delay - Optional ... |
github | mhrztrk/thesis-src-master | psf2.m | .m | thesis-src-master/toolboxes/Kovesi/FrequencyFilt/psf2.m | 3,000 | utf_8 | 20d5aff861110c5341b9d6fec90f8007 | % PSF2 - Generates point spread functions for use with deconvolution fns.
%
% This function can generate a variety function shapes based around the
% Butterworth filter. In plan view the filter can be elliptical and at
% any orientation. The 'squareness/roundness' of the shape can also be
% manipulated.
%
% Usa... |
github | mhrztrk/thesis-src-master | invfft2shft.m | .m | thesis-src-master/toolboxes/Kovesi/FrequencyFilt/invfft2shft.m | 308 | utf_8 | 1ee9d3b8e1e84f25b0fb5503595f7bfa | % INVFFT2SHFT - takes inverse fft, quadrant shifts and returns real part.
%
% Function to `wrap up' taking the inverse Fourier transform
% quadrant shifting and extraction of the real part into the one operation
% Peter Kovesi October 1999
function ift = invfft2shft(ft)
ift = fftshift(real(ifft2(ft)));
|
github | mhrztrk/thesis-src-master | scalogram.m | .m | thesis-src-master/toolboxes/Kovesi/FrequencyFilt/scalogram.m | 7,409 | utf_8 | d52ef40b2b1cf4ebfb92b343dc1d3381 | % SCALOGRAM - Calculates phase and amplitude scalogram of 1D signal.
%
% Usage:
% [amplitude, phase] = scalogram(signal, minwavelength, mult, nscales, sigmaOnf, threeD)
%
% Function to calculate the phase and amplitude scalograms of a 1D signal
% Analysis is done using quadrature pairs of log Gabor filters
%
% Argumen... |
github | mhrztrk/thesis-src-master | homomorphic.m | .m | thesis-src-master/toolboxes/Kovesi/FrequencyFilt/homomorphic.m | 5,424 | utf_8 | 51155a84aab5eba10f502eb788a81b16 | % HOMOMORPHIC - Performs homomorphic filtering on an image.
%
% Function performs homomorphic filtering on an image. This form of
% filtering sharpens features and flattens lighting variantions in an image.
% It usually is very effective on images which have large variations in
% lighting, for example when a subject ap... |
github | uutzinger/RTIMULib-master | mag_fit_display.m | .m | RTIMULib-master/Linux/RTIMULibCal/RTEllipsoidFit/mag_fit_display.m | 1,220 | utf_8 | 81967cd5d9770da8af70e9d17262fde3 | %//
%// Copyright (c) 2014, richards-tech
%//
%// This file is part of RTEllipsoidFit
%//
%// RTEllipsoidFit is free software: you can redistribute it and/or modify
%// it under the terms of the GNU General Public License as published by
%// the Free Software Foundation, either version 3 of the License, or
%// (... |
github | ShapeNet/JointEmbedding-master | rdir.m | .m | JointEmbedding-master/src/rdir.m | 5,967 | utf_8 | 9645930d6444ae2bd533318d9cd9ea91 | % Copyright (c) 2009, Gus Brown
% All rights reserved.
%
% Redistribution and use in source and binary forms, with or without
% modification, are permitted provided that the following conditions are
% met:
%
% * Redistributions of source code must retain the above copyright
% notice, this list of co... |
github | ShapeNet/JointEmbedding-master | GPS.m | .m | JointEmbedding-master/src/shape_embedding_testing/GPS.m | 2,672 | utf_8 | 8767a18666657bde1395c7c0fd2fb663 | % posToAnchorDist (n by m): distance from sensor points to anchor points (per row)
% posToSensorDist (n by n): distance from sensor points to sensor points (per row)
% anchorLoc (m by d): anchor point location per row
% estLoc (n by d): estimation point location
% x0: initial location of sensor points
function estLoc ... |
github | xiongchenyan/GraphRepresentation-master | ComputeStationaryP.m | .m | GraphRepresentation-master/depreciated/SupervisedRandomWalkMatlab/ComputeStationaryP.m | 1,272 | utf_8 | cdfcf2008570e20eb701903792d20dbc | %
% This function computes stationary probability(P) and (dP) of each node given
% transition probability matrix(Q) and partial derivatives of trantition
% matrix(dQ)
%
% input:
% Q: transiton probability matrix, size(n,n)
% dQ: partial derivatives of Q wrt parameters, size(n,n,m)
% output:
% P: stationary di... |
github | xiongchenyan/GraphRepresentation-master | sigmoid.m | .m | GraphRepresentation-master/depreciated/SupervisedRandomWalkMatlab/sigmoid.m | 90 | utf_8 | bacd309823562ce24f6277cdde772478 |
% returns the sigmoid of a number
function res = sigmoid(x)
res = 1/(1+exp(-x));
end
|
github | xiongchenyan/GraphRepresentation-master | EdgeStrengthToTransitionProbability.m | .m | GraphRepresentation-master/depreciated/SupervisedRandomWalkMatlab/EdgeStrengthToTransitionProbability.m | 574 | utf_8 | e183f1f86647a452a05897771c7841aa | %
% this function takes as input edge strength matrix(A) and random restart
% parameter(alpha) returns the transition probability matrix Q
%
%
% input:
% A : edge strength matrix, size(n,n)
% alpha: random restart parameter, size(1,1)
% output:
% Q : transition probability matrix, size(n,n)
%
%
function Q ... |
github | xiongchenyan/GraphRepresentation-master | DifferenceIndices.m | .m | GraphRepresentation-master/depreciated/SupervisedRandomWalkMatlab/DifferenceIndices.m | 708 | utf_8 | 063d7b150955ad9cc92533f020e730d7 | %
% this function takes as input the stationary probability of the nodes and the destination node binary vector and returns the pairs of nodes for which (pl - pd) is positive and also the difference
%
% input:
% P: Stationanry probabilities, size(1,n)
% d: destination nodes, size(1,n) binary vector
%
% output:
%... |
github | xiongchenyan/GraphRepresentation-master | Converged.m | .m | GraphRepresentation-master/depreciated/SupervisedRandomWalkMatlab/Converged.m | 225 | utf_8 | 32dcc05ebf613f324ffcc6bc7d338730 | %
% this function takes two arrays and retuns 1 if both the arrays are same
% with in an given error margin..
%
function ret = Converged(p1,p2,eps)
temp = max(abs(p1-p2));
if temp < eps
ret = 1;
else
ret = 0;
end
end
|
github | xiongchenyan/GraphRepresentation-master | dwilcoxon.m | .m | GraphRepresentation-master/depreciated/SupervisedRandomWalkMatlab/dwilcoxon.m | 434 | utf_8 | 582ea0bb32f35fbd9c3a547d713fe254 | % this function takes a matrix and its wilcoxon loss of each element and b, to give derivative
%
%
% wilcox function = sigmoid(x/b);
% derivative = (sigmoid(x/b)*(1-sigmoid(x/b)))/b
%
% diff = input matrix
% wmvloss = wilcoxon(diff,b)
% b = hyper parameter
%
% der = derivative according to the above for... |
github | xiongchenyan/GraphRepresentation-master | FeaturesFromAdjacentMatrix.m | .m | GraphRepresentation-master/depreciated/SupervisedRandomWalkMatlab/FeaturesFromAdjacentMatrix.m | 771 | utf_8 | 2c7968dd69efe997d0d6f2bf401d58c9 | % temporary function written to get features from adjacence matrix
function psi = FeaturesFromAdjacentMatrix(Adj)
% load('Adj.mat'); % directed graph, you can make it undirected graph if you can
temp1 = Adj;
for i = 1:396
for j = 1:396
if Adj(i,j) == 1
temp1(j,i) = temp1(i,j);
end
end
end
temp2 ... |
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