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Process noisy image to get clean polygons

Time:11-29

I am implementing image segmentation task and the output has a significant noise. I want to process the output image by removing all the noise and keep only the rectangle boxes (or polygons). Can someone please suggest good image processing techniques for this?

For instance, the images which we need to process looks like following:

image which needs to be processed

and the desired output should be something like following:

desired image

CodePudding user response:

you should try these techniques probably it work on your problem.

4 Image Segmentation Techniques in OpenCV Python

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