1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
|
data_dir = '/data/insecure/qihuizhu/baseball/Gray/train/';
save_dir = '/home/songgang/project/MultiNcut/batch_result_MNcut';
num_segs = [20];
imageSize = 200;
filelist = dir(fullfile(data_dir, '*.tif'));
nb_file = max(size(filelist));
tic;
for ii = 1:nb_file
fprintf(2, 'Segmenting image: %s ...\n', filelist(ii).name);
img_filename = fullfile(data_dir, filelist(ii).name);
I=readimage(img_filename,imageSize);
[SegLabel,eigenVectors,eigenValues]= MNcut(I,num_segs);
for j=1:size(SegLabel,3),
[gx,gy] = gradient(SegLabel(:,:,j));
bw = (abs(gx)>0.1) + (abs(gy) > 0.1);
figure(1);clf; J1=showmask(double(I),bw); imagesc(J1);axis image; axis off;
set(gca, 'Position', [0 0 1 1]);
set(gca, 'Position', [0 0 1 1]);
[PATHSTR,NAME,EXT,VERSN] = fileparts(filelist(ii).name);
print('-f1', '-djpeg90', fullfile(save_dir, sprintf('%s%s-%d.jpg', NAME,'-out', num_segs(j))));
% cm = sprintf('print -djpeg %s/file%.4d-%.2d.jpg',OutputDir,id,num_segs(j)); disp(cm);eval(cm);
% figure(10);imagesc(SegLabel(:,:,j));axis image; axis off;
% set(gca, 'Position', [0 0 1 1]);
% cm = sprintf('print -djpeg %s/Seg%.4d-%.2d.jpg',OutputDir,id,num_segs(j));disp(cm);eval(cm);
% keyboard;
end
end;
toc;
fprintf(2, ' %d files done\n', nb_file);
|
