Binarization, and then thinning/skeletonization

1. What is thinning or Skeletonizing algorithm?
2. What is Skeletonization technique?
3. What is thinning and thickening in image processing?
4. What is Skeletonization in image processing?

What is thinning or Skeletonizing algorithm?

Thinning and skeletonization are extreme forms of morphological processing, and are used when only the fundamental shape of an object on the image is of interest. Unlike the thinning operation, skeleton retains the size of the input object.

What is Skeletonization technique?

Skeletonization is an advanced technique of graft harvesting for coronary artery bypass grafting (CABG), and while it requires meticulous attention, it has many advantages.

What is thinning and thickening in image processing?

In thinning the boundary of the object is subtracted from the object. For a image A and a Composite structuring element B=(B1,B2),Thinning can be defined as, AØB=A∩(A⊗B)C. Thickening: In Thickening a part of boundary of the background is added to the object.

What is Skeletonization in image processing?

Skeletonization is a process for reducing foreground regions in a binary image to a skeletal remnant that largely preserves the extent and connectivity of the original region while throwing away most of the original foreground pixels.