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i am trying to find out bhattacharyya distance for likelihood calculations. i wrote the following code and getting a wrong answer. please go through the code and help me out.
=================
rgbimageR = imread('r32.jpg');
rgbimage = imread('r36.jpg');
%imshow(rgbimage);
figure;
%Split into RGB Channels
RedR = rgbimageR(:,:,1);
GreenG = rgbimageR(:,:,2);
BlueB = rgbimageR(:,:,3);
Red = rgbimage(:,:,1);
Green = rgbimage(:,:,2);
Blue = rgbimage(:,:,3);
figure ;
imshow(RedR);
figure;
%imhist(RedR,7);
[countsR,binLocationsR] = imhist(RedR,5);
stem(binLocationsR,countsR);
[rowsR,colsR]=size(RedR);
figure;
[countsG,binLocationsG] = imhist(GreenG,5);
stem(binLocationsG,countsG);
[rowsG,colsG]=size(GreenG);
figure;
[countsB,binLocationsB] = imhist(BlueB,5);
stem(binLocationsB,countsB);
[rowsB,colsB]=size(BlueB);
figure;
%imhist(Red,7);
[counts,binLocations] = imhist(Red,5);
stem(binLocations,counts);
[rows,cols]=size(Red);
%btacoffi=0; %p=zeros(rows,1);
btacoffiR = zeros(5,1);
btacoffiG = zeros(5,1);
btacoffiB = zeros(5,1);
%co =1;
for ro = 1:5 ;
btacoffiR(ro) = btacoffiR(ro) + sqrt((countsR(ro))*(counts(ro)));
btacoffiG(ro) = btacoffiG(ro) + sqrt((countsG(ro))*(counts(ro)));
btacoffiB(ro) = btacoffiB(ro) + sqrt((countsB(ro))*(counts(ro)));
%btacoffi = sqrt((countsR(ro,co))*(counts(ro,co)));
%btacoffi = btacoffi+btacoffi;
end
%btadis = sqrt(1-btacoffi);
btadisR=0;
btadisG=0;
btadisB=0;
for i=1:5
btadisR=btadisR + sqrt(1-btacoffiR(i));
btadisG=btadisG + sqrt(1-btacoffiG(i));
btadisB=btadisB + sqrt(1-btacoffiB(i));
end
btadis = btadisR + btadisG + btadisB ;
===================
1 comentario
Image Analyst
el 25 de Nov. de 2016
Editada: Image Analyst
el 25 de Nov. de 2016
And attach 'r32.jpg' so we can run your code.
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