Adaptive Histogram Equalization

function [optN, C, N] = sshist(x,N) [optN, C, N] = sshist(x,N) Function `sshist' returns the optimal number of bins in a histogram used for density estimation. Optimization principle is to minimize expected L2 loss function between the histogram and an unknown underlying density function. An...

The adaptive median filter is discussed in recent designline article about embedded MATLAB blockhttp://www.dspdesignline.com/howto/207800676Also attached is a power point presentation that explains the concept of serialization which is an important design consideration when implementing such an...

Affinity propagation clustering (AP) is a clustering algorithm proposed in "Brendan J. Frey and Delbert Dueck. Clustering by Passing Messages Between Data Points. Science 315, 972 (2007)". It has some advantages: speed, general applicability, and suitable for large number of clusters. AP has two...


Platforms: Matlab

In this model we have shown how adaptive filter can perform and correct up the channel effect on signal. This model is showing how filter is adapting itself to channel at each iteration. You can see different scopes displayed on model screen like adaptive filter weights, scatter plots for message...


Platforms: Matlab

HISTCND Histogram count for n dimensional data. N = HISTCND(X,EDGES), for row vectors X, counts the number of values in X that fall between the grid defined by the cell array of EDGES, each of whose element is a vector that contain monotonically non-decreasing values. N is an N-D array each of...


Platforms: Matlab

This code has been written in Spring 2008 by me, Gholamreza Anbarjafari (Shahab). You can use this code for any research and academic purposes as far as you refer to the following work: Hasan Demirel and Gholamreza Anbarjafari, "HSI Based Colour Image Equalization using Iterative nth Root and nth...


Platforms: Matlab

Here we find out the histogram of any gray level image by not using the command imhist(), which is an inbuilt one rather by without using the inbuilt command. Reader may verify the plot by comparing with that generated from using the inbuilt command.


Platforms: Matlab

The provided functions demonstrate a histogram-based measure for class separability, given the samples from two classes (binary classification problem). The proposed error classification estimation method is described in (B) and it is based on estimating the pdf of each class using histograms....


Platforms: Matlab

The histogram of the image gives the frequency of occurrence of the gray level. it gives the no. of times a particular gray level occurs in the image. In the case of a colour image,the histogram is expected to give the number of a particular colour has occurred in the image.


Platforms: Matlab

% function ynew=adsmoothdiff(dados,xnew,sdx,isdx,q,nmin)% written by Carlos J Dias%% ADAPTIVE DEGREE SAVISTZKY-GOLAY SMOOTHING AND DIFFERENTIATION% This function smooths and differentiates a sequence of numbers based on% an algorithm drawn on the ideas of Savistky and Golay and Barak.% There are...


Platforms: Matlab

This programs creates a histogram with a "logicle" (aka biexponential) x-axis. This is generally used to display flow cytometry data. It will not create false artifacts for values near zero. For more information see "A new "Logicle" display method avoids deceptive effects of logarithmic scaling...


Platforms: Matlab

function histmat = hist2(x, y, xedges, yedges) Extract 2D histogram data containing the number of events of [x , y] pairs that fall in each bin of the grid defined by xedges and yedges. The edges are vectors with monotonically non-decreasing values.The code is optimized no loop inside, it can be...


Platforms: Matlab

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) andY = linspace(Ylo,Yhi,Yn)Example:Dx = 5*rand(100,1) ;Dy = 10*rand(50,1) ;D = [Dx,Dy] ;H = histo2D(D,[0 5],10,[0...


Platforms: Matlab

The Histogram Overlay block adds a histogram overlay onto your video stream. It will operate with both grayscale and RGB images as well as varying data types. It also allows you to specify the frame color to help make the plot more visible.You can add this block to the Video and Image Processing...


Platforms: Matlab

A time-frequency representation which uses a signal-dependent, radially Gaussian kernel that adapts over time. The code provides an excellent ambiguity domain filter for time-frequency analysis.Just run the script main_AOK.m to see it in action. The test signal includes three impulses, two...


Platforms: Matlab

Calculate the 2D histogram of data pairs [x,y] on a 2D grid defined by its edges. Allows 'fast' and 'exact' binning modes. Adjustable input grid mode. Output of mesh centers for easy plot.EXAMPLE:binEdges_minmaxN_xy = [10 100 91; 0 10 21];[h2d, binC_x, binC_y] = hist2(data2d, binEdges_minmaxN_xy,...


Platforms: Matlab

Two files are included:CALCNBINS, which calculates the "ideal" number of bins to use in a histogram, using three possible methods. (Freedman-Diaconis', Scott's and Sturges' methods.)HISTX is a wrapper for Matlab's own histogram function HIST, that uses CALCNBINS to choose the number of bins if...


Platforms: Matlab

Function HISTF ('flexible histogram') extends Matlab's HIST by letting one bound displayed percentiles, set x-axis limits and y-axis maximum, set x bin size, and draw a marker line at given x position. In contrast to HIST, relative rather than absolute frequencies are displayed. (Note: when range...


Platforms: Matlab

HISTCND is similar to HISTC, but creates a histogram with any number of dimensions.N = HISTCND(X,Y,Z,... XEDGES,YEDGES,ZEDGES,... )where N is a histogram count with dimensions length(XEDGES) x length(YEDGES) x length(ZEDGES) ...If XEDGES, YEDGES, etc. are monotonically increasing and non-NaN, a...


Platforms: Matlab

It follows the algorithm written by Phil Chen in one of his papers.It will compensate all black-based values or minimum values pixels followed by the Y component of the YCbCr space.


Platforms: Matlab