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This is a simple GUI to dislay 3D images, i.e., stack of 2D images. The sliding bar and edit window allow changing the slice number (See the screenshot). It has a colormap menu which includes gray,inverse gray, hot and jet colortables as choices. When the user right-clicks on the image, the colormap menu appears. Imtools drop-down menu
includes pixval, improfile, histogram and Adjust intensity window, which can be applied globally (to all...



in this test program, we calculate the cumulative histogram in a local window centered at each pixel,this local cumulative histogram can be used to drive the level set for image and texture segmentation.

Ref. Tony Chan, Selim Esedoglu,...



To find the threshold of the image
It works well with images that have a bi-modal histogram (those with two distinct regions).



Calculates Average Roughness, RMS Roughness, Skewness and Kurtosis. Has an option of filtering low-frequency and high-frequency components of images and calculating roughness for each of the separated images (waviness and roughness components).



Explore correlations between variables with pairwise histograms plotted over grid.
This function combines the functionality of hist3 (joint/bivariate/pairwise histogram) and plotmatrix (pairwise scatter plots over a grid). It allows one to...



This program randomly generates values and stores them in a 10 element array and thereafter prints the element and value within aswell as the histogram for the element value!

By re-running this program numerous times different values...



It is very fast and simple file to display histogram of a 3D image
imhist3(I,n) n is the number of bins in the histogram
imhist3(X,map) X isindexed 3D image and map is colormap map



The INFace (Illumination Normalization techniques for robust Face recognition) toolbox is a collection of Matlab functions and scripts intended to help researchers working in the filed of face recognition. The toolbox was produced as a byproduct...



SAMPLEDIST Sample from an arbitrary distribution
sampleDist(f,M,N,b) retruns an array of size X of random values sampled from the distribution defined by the probability density function referred to by handle f, over the range b = [min,...



This function generates a vector of triangular distributed continuous random variable. By specifying minimum value(a), maximum value(b), mode(c), and number of variables to be generated(n), the function gives a vector of random variables as output...



A MATLAB implementation of the plot described in Eilers, P.H.C. and Goeman, J.J (2004) "Enhancing scaterplots with smoothed densities", Bioinformatics 20(5):623-628.

This plot is useful when a 2D scatterplot of your data would...



function H = histo2D(D,[Xlo Xhi],Xn,[Ylo Yhi],Yn,Xlab,Ylab,Title)

2-Dimensional Histogram
(size(H) == [Yn Xn])
Counts number of points in the bins defined by -
X = linspace(Xlo,Xhi,Xn) and
Y =...



K-means image segmentation based on histogram to reduce memory usage which is constant for any image size.



This function reads data files from Fluke TI32 infrared thermal camera (.IS2 proprietary format). It returns data images (raw and calibrated temperatures, and visible RGB image) and some of the header information in a single structure. Without...



This function creates a 2D scatterplot from two data vectors, and puts a univariate histogram for each vector at the horizontal and vertical axes of the plot.



this code will be helpful for finding the co-ordinate values of any gray level...

some other result can also be obtained with this code , these are...
1..finding max histogram
2..finding min histogram
3..finding the...



Yet another histogram function.



GUI for calculating 1st and 2nd order statistics of series of images.

Calculates Average, RMS, Skewness and Kurtosis - 1st order statistics. (identical to File ID: #25981 - GUI for calculating roughness parameters in images)



This computes the Histogram of CSLBP operator, which is an extension of LBP. Using CSLBP is really efficient for illumination and blur type of image transformation.



PCSA is a frequency domain analysis technique that can be used to transform PSDs (as those in a spectrogram) to the form of a two-dimensional histogram with frequency-magnitude bins. PCSA can be used to examine the spectral characteristics of a...