Image Skeletonization Functionality

For the purposes outlined in this documentation, we have developed a MATLAB function that performs image skeletonization. Skeletonization is an image processing operation that efficiently extracts the primary structural features from an image. The implemented algorithm typically employs morphological operations such as thinning or pruning to reduce image objects to their skeletal representations while preserving topological properties. This program accepts an input image and returns the skeletonized version as output. The implementation utilizes optimized MATLAB functions like bwmorph with 'skel' parameter or custom thinning algorithms to ensure rapid processing capabilities, completing image transformations within short time frames. Through this program, users can easily perform image skeletonization to better analyze and understand the structural characteristics and features within their images. The code includes preprocessing steps for image binarization and post-processing for skeleton refinement to ensure robust performance across various image types.