Howtosignalprocessing
- What is Skeletonization in image processing?
- Why is Skeletonization important?
- What is morphological smoothing?
- What is thinning algorithm?
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.
Why is Skeletonization important?
Abstract. Skeletonization provides a compact yet effective representation of 2-D and 3-D objects, which is useful in many low- and high-level image-related tasks including object representation, retrieval, manipulation, matching, registration, tracking, recognition, and compression.
What is morphological smoothing?
Morphological Smoothing. • A basic morphological smoothing is an opening followed by a closing operation. – It removes both bright and dark artifacts of noise.
What is thinning algorithm?
Thinning algorithms are greedy point removal schemes for scattered data, where the points are recursively removed according to some specific removal criterion. This yields a hierarchy of the input data,which is used for building a multi resolution approximation of a model object,a mathematical function.
