Histogram

Pairwise joint bivariate histograms for many variables in matlab

The following Matlab project contains the source code and Matlab examples used for pairwise joint bivariate histograms for many variables. This function combines the functionality of hist3 (joint/bivariate/pairwise histogram) and plotmatrix (pairwise scatter plots over a grid). It allows one to visualize and quantify the correlations among many variables.

Function to make a 2d histogram in matlab

The following Matlab project contains the source code and Matlab examples used for function to make a 2d histogram. %A Simple function that makes a 2D histgram % Input: data: two cols, x value; y value % xrange: range and bins for x value (edges) % yrange: range and bins for y value (edges) %Output: Count of a specifice (x,y) bin combination; % Suggested visualizing tool: I like to use imagesc; bar3 will work fine % too; have to change axis label though Example: data(:,1)=randn(100000,1); data(:,2)=randn(100000,1);

Statistical analysis in matlab

The following Matlab project contains the source code and Matlab examples used for statistical analysis. This MATLAB exercise estimates the statistical properties of a speech signal, namely the speech Probability Density Function (PDF) (as estimated from a histogram of speech samples, suitably normalized), the speech power density spectrum (as estimated using the method of modified periodograms), and the speech autocorrelation (obtained as the inverse discrete-time Fourier transform of the speech power density spectrum).

Radialdistribution2d in matlab

The following Matlab project contains the source code and Matlab examples used for radialdistribution2d. input: % ~~~~~~ % switchVal - operation of the finction % initialize=0; % sample=1; % results=2; % plot = 3; % % gR - the output struct contaning the histogram % (shuold be created with "gR = struct;" before initialization % % coords - x,y coordinates of partical centers % first row x, second row y % % Lx - x size of area to calculate

Fuzzy color histogram in matlab

The following Matlab project contains the source code and Matlab examples used for fuzzy color histogram. Instead of using 3-D color histogram, we use a fuzzy inference system to build a 1_D fuzzy color histogram, which is more resistant to noise in the image, and can be used in content based image retrieval.

Hog Matlab Code

Histogram of Oriented Gradients (HOG) are feature descriptors used in computer vision and image processing for the purpose of object detection. The technique counts occurrences of gradient orientation in localized portions of an image. This method is similar to that of edge orientation histograms, scale-invariant feature transform descriptors, and shape contexts, but differs in that it is computed on a dense grid of uniformly spaced cells and uses overlapping local contrast normalization for improved accuracy.

Gpu accelerated edge region based level set evolution constrained by 2d gray scale histogram in matlab

The following Matlab project contains the source code and Matlab examples used for gpu accelerated edge region based level set evolution constrained by 2d gray scale histogram. Due to its intrinsic nature which allows to easily handle complex shapes and topological changes, the level set method (LSM) has been widely used in image segmentation.

Histogram Matching Matlab Code

Histogram matching is a method in image processing of color adjustment of two images using the image histograms.

It is possible to use histogram matching to balance detector responses as a relative detector calibration technique. It can be used to normalize two images, when the images were acquired at the same local illumination (such as shadows) over the same location, but by different sensors, atmospheric conditions or global illumination.

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