Histogram

Histogram distances in matlab

The following Matlab project contains the source code and Matlab examples used for histogram distances. This package provides implementations of several commonly used histogram distances: - Kullback-Leibler Divergence - Jenson-Shannon Divergence - Jeffrey Divergence - Chi-Square - Kolmogorov-Smirnov - (Histogram) Intersection - (Histogram) Match - Quadratic form The package comes with an example of color image matching (although this might not be the best application idea, imho; anyway, it showcases the code).

Operates on two images (grayscale, binary, or color), returning a histogram-matched version in matlab

The following Matlab project contains the source code and Matlab examples used for operates on two images (grayscale, binary, or color), returning a histogram-matched version .  [imOut, hist] = matchHistograms(img1,img2,nbins) Matches the histogram of image1 to that of image 2, using the user-specified number of bins.

2d weighted histogram in matlab

The following Matlab project contains the source code and Matlab examples used for 2d weighted histogram. This function calculates a 2D, weighted histogram from: (1) an Nx2 matrix of 2D data points (2) an Nx1 vector of weights (3) M_1x1 and M_2x1 grid vectors There is an option to plot the histogram in color using the "bar3c" function (included).

Pgfhist2d in matlab

The following Matlab project contains the source code and Matlab examples used for pgfhist2d. PGFHIST2D(X, Y, W) will save a PNG file representing the 2D histogram created from data points specified by X and Y with weights specified by W.

Automatic choice of bin number in regular histogram construction in matlab

The following Matlab project contains the source code and Matlab examples used for automatic choice of bin number in regular histogram construction . Choose automatically the number of bin of a regular histogram using penalized likelihood procedure following paper of Birgé-Rozenholc in ESAIM P&S (2006), 10, pp.24-45 "How many bins should be put in a regular histogram?"

Mean,std,energy of image,cumulative gray level distrubition,mode of image, entropy, histogram modifi in matlab

The following Matlab project contains the source code and Matlab examples used for mean,std,energy of image,cumulative gray level distrubition,mode of image, entropy, histogram modifi. this script was written by Sertan Erkanli end Cenk YAMAN from Old Dominion University. this script were used only matlab imread command , all of command scipt was written with basic matlab. We think that everybody find interesting and helpfull.

Exposure based sub image histogram equalization in matlab

The following Matlab project contains the source code and Matlab examples used for exposure based sub image histogram equalization. Matlab code for following paper Kuldeep Singh, Rajiv Kapoor, Image enhancement using Exposure based Sub Image Histogram Equalization, Pattern Recognition Letters, Volume 36, 15 January 2014, Pages 10-14, ISSN 0167-8655, http://dx.doi.org/10.1016/j.patrec.2013.08.024.

Non parametric modified histogram equalization for contrast enhancement in matlab

The following Matlab project contains the source code and Matlab examples used for non parametric modified histogram equalization for contrast enhancement. In this framework, a generalised contrast enhancement algorithm is proposed which is independent of parameter setting for a given dynamic range of the input image.

Brightness preserving dynamic fuzzy histogram equalization in matlab

The following Matlab project contains the source code and Matlab examples used for brightness preserving dynamic fuzzy histogram equalization. Brightness Preserving Dynamic Fuzzy Histogram Equalization(BPDFHE) proposes a novel modification of the brightness preserving dynamic histogram equalization technique to improve its brightness preserving and contrast enhancement abilities while reducing its computational complexity.

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