for texture classification i have taken lbp as a feature..after applying lbp i have taken histogram..how to normalise the bins of histogram..and what is meant by normalise bins of histogram?

for texture classification i have taken lbp as a feature..after applying lbp i have taken histogram..how to normalise the bins of histogram..and what is meant by normalise bins of histogram?

Answer 1

[Image Analyst]

Normalization would mean that you either divide by the max value of the counts, or that you divide by the sum of all the counts.

[pixelCounts grayLevels] = imhist(lbpImage, 256);
normalizedHist1 = pixelCounts / max(pixelCounts(:));
normalizedHist2 = pixelCounts / sum(pixelCounts(:));

It means that either the max value of any count will be 1.0, or that the sum of all counts would now be 1.0, depending on which method you use.