How to Create Defect Class for Image Processing?
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Good day everyone, I have a code to inspect part's surface using image processing. And i want one of my output to show the scratches class such as:
class 1 scratch;
class 2 scratch;
class 3 scratch.
I've already calculate the total area of the image for this system. How can I generate the coding for this kind of output? Thank you so much for your replies.
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Answers (2)
Image Analyst
on 30 Nov 2021
Maybe try thresholding with the 'adaptive' option in imbinarize().
Or try a bottomhat filter with imbothat().
Or try getting a standard deviation image with stdfilt() and then thresholding.
Once you have the binary image you can measure all kinds of features with regionprops, like area, perimeter, maximum length, etc. Then you can train it with the Classification Learner app to take all those features and make a prediction as to what kind of defect (Class 1 scratch, class 2 scratch, etc.) it is.
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Image Analyst
on 1 Dec 2021
I doubt that will work. Your scratches might have lots of gray levels in them so it might just pop into the first case. Plus, it doesn't take into account the size of the scratch, it only cares about what the gray levels are.
yanqi liu
on 1 Dec 2021
yes,sir,may be use regionprops to get some properties,such as
Boundingbox,Area,Circularity
then make judge rule to classify
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