如何使用openCV识别连接组件的最窄部分？

Question

Given a connected component such as this:

I'd like to slice the image into two images where the narrowest part appears, so the output would look like this:

,

note: I have added few more examples (as requested):.

1)

2) result with: , ,

Answer 1

A really general and quite robust approach would be using erosion and watershed transformation:

1. Erode the binary image with a square kernel of size k
2. Check for the number of components. If the number of components < 2 set k = k + 1 and repeat from step 1.

This will eventually result in 2 (or more) separated components. Now:

1. Calculate markers for the watershed transformation using the components as labels you received in the previous step.
2. Perform a marker-based watershed transformation with your markers and obtain your different components including the borders for each component.

For a code reference, you may want to take a look at this watershed segmentation guide from OpenCV . They have a use case quite similar to your own application.