hi...I have done here local binary pattern on thresholded output that is after segmentation.now to carry on i am supposed to do classification on this output using Bayes classifier .I have understood the concept but finding it difficult to code .

workspace;  

fontSize = 20;

GRAYImage = double(binaryImage);

% Get the dimensions of the image.  numberOfColorBands should be = 1.

[rows, columns ] = size(GRAYImage);

% Display the original gray scale image.
figure;

subplot(2, 2, 1);

imshow(GRAYImage, []);

title('Original Grayscale Image', 'FontSize', fontSize);

% Enlarge figure to full screen.

set(gcf, 'Position', get(0,'Screensize')); 

set(gcf,'name','Image Analysis Demo','numbertitle','off') 

% Let's compute and display the histogram.

[pixelCount, grayLevels] = imhist(GRAYImage);

subplot(2, 2, 2); 

bar(pixelCount);

title('Histogram of original image', 'FontSize', fontSize);

xlim([0 grayLevels(end)]); % Scale x axis manually.

% Preallocate/instantiate array for the local binary pattern.

localBinaryPatternImage = zeros(size(GRAYImage));

for row = 2 : rows - 1   

for col = 2 : columns - 1    

centerPixel = GRAYImage(row, col);

pixel7=GRAYImage(row-1, col-1) > centerPixel;  

pixel6=GRAYImage(row-1, col) > centerPixel;   

pixel5=GRAYImage(row-1, col+1) > centerPixel;  

pixel4=GRAYImage(row, col+1) > centerPixel;     

pixel3=GRAYImage(row+1, col+1) > centerPixel;    

pixel2=GRAYImage(row+1, col) > centerPixel;      

pixel1=GRAYImage(row+1, col-1) > centerPixel;     

pixel0=GRAYImage(row, col-1) > centerPixel;       

localBinaryPatternImage(row, col) = uint8(pixel7 * 2^7 + pixel6 * 2^6 +pixel5 * 2^5 + pixel4 * 2^4 +pixel3 * 2^3 + pixel2 * 2^2 + pixel1 * 2 + pixel0);

end  

end 

subplot(2,2,3);

imshow(localBinaryPatternImage, []);

title('Local Binary Pattern', 'FontSize', fontSize);

subplot(2,2,4);

[pixelCounts, GLs] = imhist(uint8(localBinaryPatternImage));

bar(GLs, pixelCounts);

title('Histogram of Local Binary Pattern', 'FontSize', fontSize);

This is my code after segmentation. I have attached the output. i need to now use bayes classification on the output to classify the wound into granulation , sloigh and necrotic tissue. some one please help me to code in matlab.