Feature extraction generated by thinning algorithms, are often used to represent objects in a binary digital image for shape analysis and classification. Many thinning algorithms have been proposed to date. They differ from each other because of the m...
Feature extraction generated by thinning algorithms, are often used to represent objects in a binary digital image for shape analysis and classification. Many thinning algorithms have been proposed to date. They differ from each other because of the many definitions of digital skeletons and the failure to utilize available analytical tools in their design and performance evaluations. In this paper, New algorithm for the thinning is proposed. The key principle of the algorithm is to process object pixel by the 4 Neighbors Connectivity Value.