Kernel density estimation

Kernel density estimator in matlab

The following Matlab project contains the source code and Matlab examples used for kernel density estimator. % Reliable and extremely fast kernel density estimator for one-dimensional data; % Gaussian kernel is assumed and the bandwidth is chosen automatically; % Unlike many other implementations, this one is immune to problems % caused by multimodal densities with widely separated modes (see example).

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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