comparison of two histograms using pdist2

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Muhammad Ali Qadar
Muhammad Ali Qadar am 23 Aug. 2013
Kommentiert: Devarshi Patel am 10 Dez. 2018
hi, I am having two Images I wanted compare these two Images by histograms I have read about pdist that provides 'chisq' but i think the way i am doing is not correct, and what to do to show the result afterwards because this is giving a black image.
i1=imread('blue_4.gif');i1=i1(:,:,1);
[c1,n]=imhist(i1);
c1=c1/size(i1,1)/size(i1,2);
i2=imread('blue_5.jpeg');i2=i2(:,:,1);
[c2,n2]=imhist(i2);
c2=c2/size(i2,1)/size(i2,2);
d=pdist2(c1,c2,'chisq');
please give me a working example thanks

Akzeptierte Antwort

Anand
Anand am 23 Aug. 2013
You almost got it right. Just transpose the histograms. So you're last command should be
d = pdist2(c1',c2');
  8 Kommentare
Sashank
Sashank am 19 Nov. 2017
I am beginner. Please guide me about How can I know how much similar two images are ?
Devarshi Patel
Devarshi Patel am 10 Dez. 2018
How can we do this for RGB histogram?

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Weitere Antworten (1)

Raghunandan
Raghunandan am 31 Okt. 2014
Bearbeitet: Raghunandan am 31 Okt. 2014
Just wanted to let you know that pdist2 in MATLAB uses 'Euclidean' distance by default. If you are looking to get 'ChiSquare' distance, please use the code found here.
  1 Kommentar
ndoum ekanga  steve willy
ndoum ekanga steve willy am 27 Nov. 2015
Bearbeitet: ndoum ekanga steve willy am 27 Nov. 2015
But this doesnt give me any output, i cant even see the similarity.
% read two images Im1 = imread('ckt_1.tif'); Im2 = imread('ckt_3.tif');
% convert images to type double (range from from 0 to 1 instead of from 0 to 255) Im1 = im2double(Im1); Im2 = im2double(Im2);
% Calculate the Normalized Histogram of Image 1 and Image 2 hn1 = imhist(Im1)./numel(Im1); hn2 = imhist(Im2)./numel(Im2);
% Calculate the histogram error
f = sum((hn1 - hn2).^2); f; %display the result to console

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