从二值图像中平滑边界提取

Question

I'm trying to extract the boundary between two regions in an image programmatically. I've got the hard bits figured out, so that I have a binary image that contains the boundary and plenty of noise. . Cropping the areas outside isn't an issue.

The boundary in the image is afflicted both by noise (bottom-left for example) and some areas of discontinuity. That means I can't simply select the shape based on one known pixel.

The problem left to me is pretty simple - I only really need to fill the gaps in the boundary and smooth it out, so that I am left with something smooth and continuous that I can extract afterwards. That doesn't sound like a particularly hard problem for images like this, but I'm completely lost. What algorithms or strategies could I possible use in order to turn this image into something useful?

The output I'm looking for is something that can be cropped to give .

Answer 1

An common practice is to use a gaussian blur . This will filter out the noise in the image depending on the intensity of the blur. At the bottom of the article there is a gif with a cat image showing what you want.

After that there are contour finding algos which could help you extract the boundaries as pixel chains