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main.m
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%///
% main class for testing and demo
% already blocked the interactive part
% please change paths to load in different image set (line 12-14)
% @parameter: input'SLIC' or 'SLICO'
% @author: r01942054@ntu
% @date: 05.2013
%
%function main(name, param11, param12, lambda)
function main(version, name, params, type)
global oriImg numSegments meanColor meanCoord fSeg bSeg segments colorDis lumDis texDis meanTexture;
warning off;
%parameters: change paths if needed
infinite = 999999;
path = 'D:/InteractiveSegTestImage/';
dir = [path, 'test/ERS/300/'];
imgPath = strcat(path, 'image/', name, '.jpg');
superpixelPath = [path, 'SLICO/200/', name, '.dat'];
ERSPath = [path, 'ERS/300/', name, '.mat'];
%maskPath = [path, 'boundary_GT_lasso/', name, '.bmp'];
maskPath = [path, 'mask1/', name, '_mask1.jpg'];
%maskPath2 = [path, 'mask2/', name, '_mask2.jpg'];
%add necessary path
addpath('Bk') ;
addpath('Bk/bin') ;
addpath(genpath('vlfeat-0.9.18')) ;
%addpath('gabor');
%load image
oriImg = imread(imgPath);
%img = im2single(oriImg) ;
img = oriImg;
w = size(img, 1);
h = size(img, 2);
%load mask
imgMask = imread(maskPath);
%load and build graphcut library
%BK_BuildLib; disp('BuildLib PASSED');
%BK_LoadLib; disp('LoadLib PASSED');
%///////////SLIC///////////////////////////////////////////////////%
% regionSize = 20 ;
% regularizer = 10 ;
% tic
% segments = vl_slic(img, regionSize, regularizer, 'verbose') ;
% toc
% %save test.dat segments;
%
% %show superpixel result
% [sx,sy]=vl_grad(double(segments), 'type', 'forward') ;
% s = find(sx | sy) ;
% imp = img ;
% imp([s s+numel(img(:,:,1)) s+2*numel(img(:,:,1))]) = 0 ;
% figure; imagesc(imp) ;
% %figure; imagesc(segments);
% numSegments = segments(w,h) + 1;
%
%////////////////SLICO/////////////////////////////////////////////%
% fid=fopen(superpixelPath,'rt');
% A = fread(fid,'*uint32');
% fclose(fid);
% segments = reshape(A, h, w)';
% numSegments = max(A) + 1;
%//////////////////////////////////////////////////////////////////%
%////////////////runERS////////////////////////////////////////////%
% grey_img = double(rgb2gray(oriImg));
% nC = floor(w*h/200);
% t = cputime;
% [segments] = mex_ers(grey_img,nC);
% numSegments = max(max(segments)) + 1;
% fprintf(1,'Use %f sec. \n',cputime-t);
% fprintf(1,'\t to divide the image into %d superpixels.\n',nC);
%//////////////////////////////////////////////////////////////////%
%////////////////loadERS///////////////////////////////////////////%
segments = load(ERSPath, '-ascii');
numSegments = max(max(segments)) + 1;
%//////////////////////////////////////////////////////////////////%
%compute mean color of each segment
if(strcmp(version, 'ver4')==1)
img = rgb2lab(img);
Layer1 = img(:,:,1);
Layer2 = img(:,:,2);
Layer3 = img(:,:,3);
%img(:,:,1) = img(:,:,1).*2.55;
meanColor = zeros(3, numSegments);
meanCoord = zeros(2, numSegments);
%test = zeros(w, h);
for i = 1:numSegments
[x,y] = find(segments==i-1);
sz = size(x, 1);
meanColor(1, i) = sum( sum(Layer1(segments==i-1)) )/sz;
meanColor(2, i) = sum( sum(Layer2(segments==i-1)) )/sz;
meanColor(3, i) = sum( sum(Layer3(segments==i-1)) )/sz;
%meanColor(4, i) = sum( sum(oriImg(x,y,1)) )/sz;
%meanColor(5, i) = sum( sum(oriImg(x,y,2)) )/sz;
%meanColor(6, i) = sum( sum(oriImg(x,y,3)) )/sz;
meanCoord(1, i) = sum(x)/sz;
meanCoord(2, i) = sum(y)/sz;
%test(segments==i-1) = meanColor(1, i);
end
elseif(strcmp(version, 'ver5')==1)
gray_img = rgb2gray(oriImg);
Layer1 = img(:,:,1);
Layer2 = img(:,:,2);
Layer3 = img(:,:,3);
meanColor = zeros(4, numSegments);
for i = 1:numSegments
[x,y] = find(segments==i-1);
sz = size(x, 1);
meanColor(1, i) = sum( sum(Layer1(segments==i-1)) )/sz;
meanColor(2, i) = sum( sum(Layer2(segments==i-1)) )/sz;
meanColor(3, i) = sum( sum(Layer3(segments==i-1)) )/sz;
meanColor(4, i) = sum( sum(gray_img(segments==i-1)) )/sz;
end
else
Layer1 = img(:,:,1);
Layer2 = img(:,:,2);
Layer3 = img(:,:,3);
meanColor = zeros(3, numSegments);
meanCoord = zeros(2, numSegments);
for i = 1:numSegments
[x,y] = find(segments==i-1);
sz = size(x, 1);
meanColor(1, i) = sum( sum(Layer1(segments==i-1)) )/sz;
meanColor(2, i) = sum( sum(Layer2(segments==i-1)) )/sz;
meanColor(3, i) = sum( sum(Layer3(segments==i-1)) )/sz;
meanCoord(1, i) = sum(x)/sz;
meanCoord(2, i) = sum(y)/sz;
end
end
%//////////////////////////////////////////////////////////////////////
% read mask, initilize forground and background segment
%//////////////////////////////////////////////////////////////////////
fSeg = zeros(1, numSegments);
bSeg = zeros(1, numSegments);
[f1, f2] = find(imgMask(:,:,1) - imgMask(:,:,2) > 200);
[b1, b2] = find(imgMask(:,:,3) - imgMask(:,:,2) > 200);
for i = 1:size(b1, 1)
bSeg(segments(b1(i), b2(i))+1) = 1;
end
for i = 1:size(f1, 1)
fSeg(segments(f1(i), f2(i))+1) = 1;
end
uncertain = find((fSeg - bSeg)==0);
%distinguish neighbors
neighboring = FindNeighbor();
colorDis = pdist2(meanColor', meanColor').*neighboring;
if(strcmp(version, 'ver0')==1 || strcmp(version, 'ver4')==1)
tarName = [name,'_', version, '_',int2str(params(1))];
%calculate dF, dB
[dF dB] = updateMinDis(version, uncertain);
%compute E1 E2
E1 = updateE1(version, infinite, dF, dB);
E2 = updateE2(version, neighboring, params) ;
elseif(strcmp(version, 'ver1')==1)
tarName = [name,'_', version, '_',int2str(params(1)), '_', int2str(params(2)), '_', int2str(params(3))];
texture = extractTexture(oriImg, 'gabor');
computeMeanTexture(texture);
%calculate dF, dB
[dF dB dTF dTB] = updateMinDis(version, uncertain);
%compute E1 E2
E1 = updateE1(version, infinite, dF, dB, dTF, dTB);
E2 = updateE2(version, neighboring, params) ;
elseif(strcmp(version, 'ver2'))
tarName = [name,'_', version, '_',int2str(params(1)), '_', int2str(params(2)), '_', int2str(params(3))];
%calculate dF, dB
[dF dB] = updateMinDis(version, uncertain);
%compute E1 E2
E1 = updateE1(version, infinite, dF, dB);
E2 = updateE2(version, neighboring, params) ;
elseif(strcmp(version, 'ver5'))
tarName = [name,'_', version, '_',int2str(params(1))];
texture = extractTexture(oriImg, 'gabor');
computeMeanTexture(texture);
texDis = pdist2(meanTexture', meanTexture').*neighboring;
lumDis = pdist2(meanColor(4,:)', meanColor(4,:)').*neighboring;
%calculate dF, dB
[dF dB dTF dTB] = updateMinDis(version, uncertain);
%compute E1 E2
E1 = updateE1(version, infinite, dF, dB, dTF, dTB);
E2 = updateE2(version, neighboring, params);
%mydisplay(segments, numSegments, E1(1,:)-fSeg*infinite);
%mydisplay(segments, numSegments, E1(2,:)-bSeg*infinite);
elseif(strcmp(version, 'ver3'))
tarName = [name,'_', version, '_',int2str(params(1))];
texture = extractTexture(rgb2gray(oriImg));
%calculate dF, dB
[dF dB dTF dTB] = updateMinDis(version, uncertain);
%compute E1 E2
E1 = updateE1(version, infinite, dF, dB, dTF, dTB);
E2 = updateE2(version, neighboring, params) ;
end
%graph cut
hinc = BK_Create(numSegments,2*numSegments);
BK_SetUnary(hinc, E1);
BK_SetNeighbors(hinc, E2);
e_inc = BK_Minimize(hinc);
lab = BK_GetLabeling(hinc);
BK_Delete(hinc);
%display and save file
[newImg map] = drawResults(lab);
path1 = [dir, name, '/'];
if (exist(path1, 'dir') == 0), mkdir(path1); end
imwrite(newImg, [path1, tarName, '.jpg']);
imwrite(map*255, [path1, 'map_', tarName, '.bmp']);
path2 = [dir, version, '/'];
if (exist(path2, 'dir') == 0), mkdir(path2); end
imwrite(newImg, [path2, tarName, '.jpg']);
imwrite(map*255, [path2, 'map_', tarName, '.bmp']);
%///////////////////////STEP 2/////////////////////////////%
%load mask 2
% imgMask2 = imread(maskPath2);
%
% %identify ambiguous segments
% uSeg = zeros(numSegments, 4);
% [new_f1, new_f2] = find(imgMask2(:,:,1) - imgMask2(:,:,2) > 200);
% [new_b1, new_b2] = find(imgMask2(:,:,3) - imgMask2(:,:,2) > 200);
% for i = 1:size(new_f1, 1)
% if(uSeg(segments(new_f1(i), new_f2(i))+1, 1) ~= 1 && fSeg(segments(new_f1(i), new_f2(i))+1) ~=1 )
% uSeg(segments(new_f1(i), new_f2(i))+1, 1) = 1;
% uSeg(segments(new_f1(i), new_f2(i))+1, 2) = 1;
% uSeg(segments(new_f1(i), new_f2(i))+1, 3) = new_f1(i);
% uSeg(segments(new_f1(i), new_f2(i))+1, 4) = new_f2(i);
% end
% end
% for i = 1:size(new_b1, 1)
% if(uSeg(segments(new_b1(i), new_b2(i))+1, 1) ~= 1 && bSeg(segments(new_b1(i), new_b2(i))+1) ~=1 )
% uSeg(segments(new_b1(i), new_b2(i))+1, 1) = 1;
% uSeg(segments(new_b1(i), new_b2(i))+1, 2) = 0;
% uSeg(segments(new_b1(i), new_b2(i))+1, 3) = new_b1(i);
% uSeg(segments(new_b1(i), new_b2(i))+1, 4) = new_b2(i);
% end
% end
%
% seg = find(uSeg(:,1)==1);
%
% for i = 1:size(seg, 1)
% [idx, M] = testBranch(oriImg, segments, seg(i)-1, uSeg(seg(i),:));
% map(idx(1):idx(2), idx(3):idx(4)) = M;
% %drawFineResults(oriImg, segments, lab, idx, M, seg(i)-1);
% end
% %restore other segments
% for i = 1:numSegments
% if(uSeg(i, 1) ~= 1)
% map(segments==i-1) = lab(i) -1;
% end
% end
% resultImg(:, :, 1) = oriImg(:, :, 1) .* uint8(map);
% resultImg(:, :, 2) = oriImg(:, :, 2) .* uint8(map);
% resultImg(:, :, 3) = oriImg(:, :, 3) .* uint8(map);
%
% figure; imshow(resultImg);
end