Remove noise from an image

Question

Alessandro 2011-5-12

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https://ww2.mathworks.cn/matlabcentral/answers/7304-remove-noise-from-an-image

Hi everybody, I am a student and I am at the beginning in a course of Machine Vision. It is one week that I try to solve this problem but without success so maybe someone can help me. I have to remove the noise and improve the quality of this image http://www.filedropper.com/image_5

Can you explain me how it is possible a show some code?

Thanks

Ale

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Answer 1

Sean de Wolski 2011-5-12

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https://ww2.mathworks.cn/matlabcentral/answers/7304-remove-noise-from-an-image#answer_10033

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I2 = bwareaopen(I,3);

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Alessandro 2011-5-12

It doesn't work! I got a completely withe image.

Sean de Wolski 2011-5-12

It was a shot in the dark. I didn't download your image (I don't trust the site). I also don't want to do your homework for you. If you posted your image to a site that's trustworthy (i.e. no download; e.g. www.uploadhouse.com) and showed us, in code, what you've tried so far, we'll be able to give you non-useless answers.

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Answer 2

Alessandro 2011-5-12

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This is the image: http://img8.uploadhouse.com/fileuploads/10299/10299638860eea3f63a6d0d4279798a3ec3fbba3.jpg

This is my code so far:

I = rgb2gray(imread('L3S1T2.jpg'));
imshow(I); title('Original');
figure;
imhist(I);
B = wiener2(I);
figure;
imshow(B);

I thought that the noise could be a Gaussian Noise so I applied a wiener filter but the result is not so good. Then looking in the histogram I saw some spikes and I thought that maybe the spikes are related to the noise, so I am looking for a way to "remove" the spikes.

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Answer 3

Sean de Wolski 2011-5-12

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https://ww2.mathworks.cn/matlabcentral/answers/7304-remove-noise-from-an-image#answer_10038

在 MATLAB Online 中打开

X = imread(your_image);
Q = uint8(imclearborder(imfill(conv2(double(X(:,:,1)),ones(3),'same')<1400,'holes'))).*X(:,:,1); %quarters
imtool(Q)

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Alessandro 2011-5-12

This doesn't look like a real improvement.

And I don't want only the solution, if it is possible I would also understand and learn something.

Sean de Wolski 2011-5-12

That was the point. I have you six things to look into that you may find useful: convolution, hole filling, extraction of one slice, threshold, border clearing, map application. You can play with the parameters and or look at other functions such as imdilate, imerode, bwdist...

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