Quick list of the source included: imhist_thresh.cpp: Generate histogram from data,# of bins based on unique values. imsmarthist_thresh.cpp: equalize data based on histogram imsmartstd_thresh.cpp: equalize data based on standard deviation im_absdiff.cpp: Absolute difference of two images im_add.cpp: Add two images im_addelem.cpp: Add a variable to an image im_complement.cpp: Inverse of an image im_div.cpp: Divide one image by another (pixel wise, not linear algebra) im_divelem.cpp: divide an image by an element im_find.cpp: generate a new image based on conditions, will be booleanish im_fliplr.cpp: Flip image left right im_flipud.cpp: Flip image up down im_hist.cpp: Histogram of image, notes will explain how to display results im_log10.cpp: Take the log of the image im_max.cpp: Max value in the image im_mean.cpp: Mean value of the image im_median.cpp: Median value of the image im_min.cpp: Min value of the image im_mult.cpp: Mult

buildMex.m
helperTemplates.hpp
Image.hpp
imhist_thresh.cpp
imhist_thresh.mexw32
imsmarthist_thresh.cpp
imsmarthist_thresh.mexw32
imsmartstd_thresh.cpp
imsmartstd_thresh.mexw32
im_absdiff.cpp
im_absdiff.mexw32
im_add.cpp
im_add.mexw32
im_addelem.cpp
im_addelem.mexw32
im_complement.cpp
im_complement.mexw32
im_div.cpp
im_div.mexw32
im_divelem.cpp
im_divelem.mexw32
im_find.cpp
im_find.mexw32
im_fliplr.cpp
im_fliplr.mexw32
im_flipud.cpp
im_flipud.mexw32
im_hist.cpp
im_hist.mexw32
im_log10.cpp
im_log10.mexw32
im_max.cpp
im_max.mexw32
im_mean.cpp
im_mean.mexw32
im_median.cpp
im_median.mexw32
im_min.cpp
im_min.mexw32
im_mult.cpp
im_mult.mexw32
im_multelem.cpp
im_multelem.mexw32
im_rgb2bw.cpp
im_rgb2bw.mexw32
im_sobelEdge.cpp
im_sobelEdge.mexw32
im_square.cpp
im_square.mexw32
im_stdDev.cpp
im_stdDev.mexw32
im_stdDevVal.cpp
im_stdDevVal.mexw32
im_sub.cpp
im_sub.mexw32
im_subelem.cpp
im_subelem.mexw32
im_transpose.cpp
im_transpose.mexw32
MatlabImage.hpp
matlabIO.hpp
Notes.txt
statistics.hpp
types.h

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