black task processing in an image

Hello

I have a problem with the image display level, the problem is that I have black spots in the white part and I want to eliminate them

attaching the resulting image and the .mat file

thank you in advance

Answer 1

[Image Analyst]

Threshold the image and then call imfill()

binaryImage = grayImage > someValue;
binaryImage = imfill(binaryImage, 'holes');

If you want only holes of a certain diameter filled, then it's a little trickier, so write back.

[dakhli mohamed]

I just want to eliminate the maximum of black spots (pixels) in the white part and keep the whole black parity

[Image Analyst]

What do you mean by "eliminate" and "maximum of black spots"?

Did you try my suggestion and it doesn't do what you want?

[dakhli mohamed]

I tried but I found almost the same result

more simply I want the whole zonne in white does not contain any black pixel

[dakhli mohamed]

here is the image obtained after the execution of your code

[Image Analyst]

Then try this, if you want all black holes filled to white:

s = load('outputt.mat')
u = logical(s.u);
subplot(2, 1, 1);
imshow(u, 'InitialMagnification', 200);
axis('on', 'image');

% Fill in everything.
[rows, columns] = find(u);
boundaryIndexes = boundary(columns, rows);
hold on;
plot(columns(boundaryIndexes), rows(boundaryIndexes), 'r-', 'LineWidth', 2);
newImage = poly2mask(columns(boundaryIndexes), rows(boundaryIndexes), size(u, 1), size(u, 2));
subplot(2, 1, 2);
imshow(newImage, 'InitialMagnification', 200);
axis('on', 'image');