MATLAB: How to plot Histograms for multiple data

histogramStatistics and Machine Learning Toolbox

I have about 20 .mat data and I need a code to load all the data from a folder and calculate their histograms. cheers.

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See the FAQ for code samples: http://matlab.wikia.com/wiki/FAQ#How_can_I_process_a_sequence_of_files.3F

Inside each loop call hist() and plot(). You might want to use a different color for each plot to distinguish them from each other.

[counts, binCenters] = hist(yourData, numberOfBins);
hold on;
plot(binCenters, counts, 'Color', rand(1,3));

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MATLAB: 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

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.

MATLAB: What mean ,hist word in matlab

It a frequency histogram

X = randn(1000,1);
hist(X)

It "bins" the input data and returns the number of data values that value in each bin.

You can get the actual counts and bin center with the optional output arguments:

 [counts,centers] = hist(X);

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Related Solutions

MATLAB: 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

MATLAB: What mean ,hist word in matlab

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