📄 mylocstat.m
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function g=mylocstat(Iloc,M,D,E,k)
%MYLOCSTAT - perform single-back gray value
% imadjustation based on local statistics for sliding block operation.
% Motivation: try local statistics enhancement operation.
% Parameters:
% Iloc - the local neighbourhood of image to be processed.
% M - the global mean of image's gray values.
% D - the global variance of image's gray values.
% E - the ehancement constant
% k - the 1x3 sized threshold vector:
% - k(1) is mean threshold
% - k(2) and k(3) are variance threshold
% Copyright by Alex Zuo.
%Localize the center of the block.
Bcenter=floor((size(Iloc)+1)/2);
xc=Bcenter(1);yc=Bcenter(2);
%Preprocess the input parameters.
if (nargin<5)
k=[0.4 0.02 0.4];
end
if (nargin<4)
E=4.0;
end
if (nargin<3)
display('Mean and Variance must be provided!');
end
%Compute the local mean and variance.
Mloc=mean2(Iloc);
Dloc=std2(Iloc);
%Build the local response.
if (Mloc<=k(1)*M) && (Dloc>=k(2)*D) && (Dloc<=k(3)*D)
g=E*Iloc(xc,yc);
else
g=Iloc(xc,yc);
end
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