HistConnect 1.0

This Function HistConnect will make a smooth histogram for a signal or image consisting of a few samples. The function assumes correlation between the samples, and implicitly generates new linear-interpolated samples between the originate samples. Thus makes the assumption of continuity between samples and low-frequency signal. note : If your samples are spatial uncorrelated, use X=sort(X) before using this function H=HistConnect(X,B,R) X : A 1D vector or 2D matrix (image) with sample values B : The number of histogram bins (default 256) R : A vector [1 x 2], with the min and max histogram boundary, (default R=getrangefromclass(X)) Example how it works, - You want 3 bins - Measured samples [0 0.3 0.7 1] - Histogram edges [0 1/3] [1/3 2/3] [2/3 1]; A normal histogram function will return: H= [2 0 2] This histogram function makes histogram-blocks between two values in the sample vector sample value 0 connect with 0.3 : [1.33 0.00 0.00] sample value 0.3 connect with 0.7 : [0.11 1.11 0.11] sample value 0.7 connect with 1.0 : [0.00 0.00 1.33] --------------------- H = [1.44 1.11 1.44]

Requirements:	No special requirements
Platforms:	Matlab
Keyword:	Boundary,  Connect,  Default,  Dgetrangefromclassx,  Dhistconnectxbr,  Edges,  Histogramblocks,  Matrix,  Measured,  Normal,  Number,  Return,  Sample,  Values,  Vector,  Works
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