Why my binary mask show only 0 value?

조회 수: 2 (최근 30일)
Dayangku Nur Faizah Pengiran Mohamad
댓글: dpb 2023년 11월 8일
Here's my codes:
fontSize = 16;
I=imread('cropa8.png');
subplot(1, 2, 1);
imshow(I, []);
axis('on', 'image');
drawnow;
hp = impixelinfo();
hFig1 = gcf;
hFig1.Units = 'Normalized';
hFig1.WindowState = 'maximized';
hFig1.Name = 'Demo by Image Analyst';
hsvImage = rgb2hsv(I);
mask = hsvImage(:,:,2) > 0.3;
mask = imfill(mask, 'holes');
subplot(1, 2, 2);
imshow(mask, []);
axis('on', 'image');
drawnow;
hp = impixelinfo();
subplot(1, 2, 1);
boundaries = bwboundaries(mask);
numberOfBoundaries = size(boundaries, 1);
hold on;
for k = 1 : numberOfBoundaries
thisBoundary = boundaries{k};
x = thisBoundary(:,2);
y = thisBoundary(:,1);
plot(x, y, 'g-', 'LineWidth', 3);
imwrite(logical(mask),'maska8.png');
end
hold off;
axis('on', 'image');
As below shown is my result value in logical mask only shown 0 value.
And this my data image, which is 512x512x3 uint8.
Can someone help me, why my image after convert into binary mask only shown in 0 value?

채택된 답변

dpb
dpb 2023년 10월 4일
편집: dpb 2023년 11월 8일
fontSize = 16;
I=imread('cropa8.png');
subplot(1, 2, 1);
imshow(I, []);
axis('on', 'image');
drawnow;
hp = impixelinfo();
hFig1 = gcf;
hFig1.Units = 'Normalized';
hFig1.WindowState = 'maximized';
hFig1.Name = 'Demo by Image Analyst';
hsvImage = rgb2hsv(I);
mask = hsvImage(:,:,2) > 0.3;
any(mask,'all')
ans = logical
1
mask = imfill(mask, 'holes');
any(mask,'all')
ans = logical
1
subplot(1, 2, 2);
imshow(mask, []);
axis('on', 'image');
drawnow;
hp = impixelinfo();
subplot(1, 2, 1);
boundaries = bwboundaries(mask);
numberOfBoundaries = size(boundaries, 1);
hold on;
for k = 1 : numberOfBoundaries
thisBoundary = boundaries{k};
x = thisBoundary(:,2);
y = thisBoundary(:,1);
plot(x, y, 'g-', 'LineWidth', 3);
imwrite(logical(mask),'maska8.png');
end
nnz(mask)
ans = 8968
r1=find(any(mask,2),1), r2=find(any(mask,2),1,'last')
r1 = 21
r2 = 159
c1=find(any(mask),1), c2=find(any(mask),1,'last')
c1 = 277
c2 = 365
mask(min(r1-5,r2+5):max(r1-5,r2+5),min(c1,c2)-5:max(c1,c2)+5)
ans = 149×99 logical array
Columns 1 through 49 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 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0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Column 99 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
hold off;
axis('on', 'image');
M=mask(min(r1,r2):max(r1,r2),min(c1,c2):max(c1,c2));
whos M
Name Size Bytes Class Attributes M 139x89 12371 logical
figure,imshow(ans,[])
You're just not looking in the right place...
  댓글 수: 4
Dayangku Nur Faizah Pengiran Mohamad
Ok Sir, I get now thanks and one more question. I have saved the last image result that you obtained. Is it the image sizes is 577x433 px? How can I get the exact area like this but with in 512x512 px without losing information quality of the image?
dpb
dpb 2023년 11월 8일
Why don't you use size() on the result and see intead of guessing?
But, no, it certainly isn't that; don't know how you came up with those values at all...see the little addition to the previous answer at the bottom that looks like
%M=mask(min(r1,r2):max(r1,r2),min(c1,c2):max(c1,c2));
%whos M
%Name Size Bytes Class Attributes
%M 139x89 12371 logical
shows that the bounds of the mask area is a subsection of the total image that is 139x89; the plotted version is 10 larger in each direction since I added a 5-pixel border.
The original image is 512x512 and you've only taken a very small piece of it; it can't possibly be 512x512 and you have all the information there is; if you mean to blow the mask itself up to 512x512, you'll have to scale it up by
512./[139 89]
ans = 1×2
3.6835 5.7528
which is quite a large magnification and it's going to get really jaggedy around the edges as it already is somewhat that way.
I'm not an image processing guy; there are undoubtedly ways to try to do such magnifications with smoothing, but those techniques are beyond my ken, sorry.

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