File Exchange

## Fuzzy Color Histogram

version 1.0 (1.66 KB) by

Extracting a 1-D fuzzy color histogram by applying fuzzy inference system tool.

Updated

Instead of using 3-D color histogram, we use a fuzzy inference system to build a 1_D fuzzy color histogram, which is more resistant to noise in the image, and can be used in content based image retrieval.

Aqeel

### Aqeel (view profile)

my brother piyali banerjee
use this function to call FIS and extract 1-D fuzzy color histogram.
%%%%%%%%%%%%%%%%%%%%%%%

function [featureVector,RGB] = fuzzy_colour_histogram(I)

%Fuzzy colour histogram features

%Input: I (sRGB colour image)
%Output: featureVector (feature vector)
%
%
featureVector = [];
RGB=I;
I=imresize(I,[50 NaN]);
%Convert into Lab
C = makecform('srgb2lab');
I = applycform(I,C);

%Normalize between 0 and 1
I = double(I);
I = I/255;

[rows cols channels] = size(I);

%Compute fuzzy-coloured image
I_F = zeros(rows, cols);
for r = 1:rows
for c = 1:cols
I_F(r,c) = evalfis(I(r,c,:), fismat);
end
end
featureVector = hist(reshape(I_F,1,rows*cols),15)/(rows*cols);

end

piyali banerjee

### piyali banerjee (view profile)

dear aqeel this is .fis file.but can u plz post the matlab coding how to implement this fuzzy inference rules to get the output fuzzy linking histogram bins for a given input image

Aqeel

### Aqeel (view profile)

The color space used is CIElab because it's device independent. However this color space is hard to understand by human, therefore building fuzzy rules needs training in photoshop hhhhhhhh.

##### MATLAB Release
MATLAB 7.14 (R2012a)