image processing

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.

Image processing laboratory in matlab

The following Matlab project contains the source code and Matlab examples used for image processing laboratory. The features are: 1) Display only Red, Green or Blue image color 2) Display luma (y) component 3) Graphic equalizer 4) Quantization from 8bit (per pixel xomponent) to 3 bit 5) JPG compression with interactive mask There is a video-tutorial in English inside! (you can also watch it at: http://www.

Enhanced compressed sensing recovery with level set normals in matlab

The following Matlab project contains the source code and Matlab examples used for enhanced compressed sensing recovery with level set normals. This code provides the algorithms described in the paper: V. Estellers, J.-P. Thiran, X. Bresson, 'Enhanced Compressed Sensing Recovery with Level Set Normals', IEEE Transactions on Image Processing.

Currency recognition in matlab

The following Matlab project contains the source code and Matlab examples used for currency recognition .  It is difficult for people to recognize currencies from different countries.This system is based on image processing and makes the process automatic and robust.Color and shape information are used in algorithm.

Wiener Filter Matlab Code

Wiener filter is a filter used to produce an estimate of a desired or target random process by linear time-invariant filtering an observed noisy process, assuming known stationary signal and noise spectra, and additive noise. The Wiener filter minimizes the mean square error between the estimated random process and the desired process.

Rigid and non rigid image registration using sumulink in matlab

The following Matlab project contains the source code and Matlab examples used for rigid and non rigid image registration using sumulink. This optical flow program shows how "optical flow" block from Video and image processing blockset of Simulink is capable dealing with BOTH rigid and non rigid optical flow! The advantage using this block for optical flow is it's speed and the reason you can easly export it to c (using real time workshop) To run this demo ------------------ 1.

Gabor Filter Matlab Code

Gabor filter is a linear filter used for edge detection. Frequency and orientation representations of Gabor filters are similar to those of the human visual system, and they have been found to be particularly appropriate for texture representation and discrimination. In the spatial domain, a 2D Gabor filter is a Gaussian kernel function modulated by a sinusoidal plane wave.

K Means Clustering Matlab Code

k-means clustering is a method of vector quantization, originally from signal processing, that is popular for cluster analysis in data mining. k-means clustering aims to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. This results in a partitioning of the data space into Voronoi cells.

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