Calculates local histograms at every point in an image I.
H(i,j,...,k,:) will contain the histogram at location (i,j,...,k), as
calculated by weighing values in I by placing wtMask at that
location. For example, if wtMask is ones(windowSize) then the
histogram at every location will simply be a histogram of the pixels
within that window. See histc2 for more information about histgorams.
See convnFast for information on shape flags.
USAGE
H = histcImWin( I, edges, wtMask, [shape] )
INPUTS
I - image (possibly multidimensional) [see above]
edges - quantization bounds, see histc2
wtMask - numeric array of weights, or cell array of sep kernels
shape - ['full'], 'valid', 'same', or 'smooth'
OUTPUTS
H - [size(I)xnBins] array of size(I) histograms
EXAMPLE
load trees; L=conv2(X,filterDog2d(10,4,1,0),'valid'); figure(1); im(L);
f1=filterGauss(25,[],25); f2=ones(1,15);
H1 = histcImWin(L, 15, {f1,f1'}, 'same'); figure(2); montage2(H1);
H2 = histcImWin(L, 15, {f2,f2'}, 'same'); figure(3); montage2(H2);
See also ASSIGNTOBINS, HISTC2, CONVNFAST, HISTCIMLOC
Piotr's Computer Vision Matlab Toolbox Version 2.0
Copyright 2014 Piotr Dollar. [pdollar-at-gmail.com]
Licensed under the Simplified BSD License [see external/bsd.txt]