Feature detection projects and source code

Identification of piecewise linear and homogeneous zone detection in matlab

The following Matlab project contains the source code and Matlab examples used for identification of piecewise linear and homogeneous zone detection. Project:1D signal:Identification of PieceWise Linear by multiple regression Detection of homogeneous zone using entropie Projection in the Hough space (1D) I/O Inputs: 1D signal (xe,ye) Simulated data (Figure 12); Outputs: Entropie signal (xee,yee) Line positions, position Line lengths, longueur Line slopes, pente Error of regression, e Purpose: E=0: Identification of PieceWise Linear (Figure 1)

Distribution of the sum of independent non-identical bernoulli random variables using convolution in matlab

The following Matlab project contains the source code and Matlab examples used for distribution of the sum of independent non-identical bernoulli random variables using convolution . Y = BERNPDF(P) where P is an N x 1 vector returns the distribution of the sum of N Bernoulli random variables.

Mono and bidimensional box car convolution. fast. in matlab

The following Matlab project contains the source code and Matlab examples used for mono and bidimensional box car convolution. fast.. It uses the recursion hence, it is much faster as the windows get large. Call it two times for triangular window convolution. Example:  x=randn(300,100);  tic;y1 = conv2(x,ones(10,40),'same');toc  tic;y2 = boxconv(x,10,40);toc  err=y1-y2; norm(err,2)

4 d sobel edge detection in matlab

The following Matlab project contains the source code and Matlab examples used for 4 d sobel edge detection. 4-D Sobel Edge Dection 4-D edge Sobel edge detector INPUT:   A - 4-d double/single tensor OUTPUT:   S - 4-d double/single tensor               Sobel edge magnitude values at every location (x,y,z,t) Class support of input:     float: double, single .

Gabor function in matlab

The following Matlab project contains the source code and Matlab examples used for gabor function. Generates a 2D spatial Gabor function. Useful for generating model simple cell receptive fields, or for performing edge detection. Parameters allow for specifying spatial frequency, orientation, width, and center.

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