The New Jersey Institute of Technology's
Electronic Theses & Dissertations Project

Title:	A heuristical method of corner points detection on an image boundary
Author:	Li, Qiulin
View Online:	njit-etd1992-086 (v, 42 pages ~ 1.0 MB pdf)
Department:	Department of Computer and Information Science
Degree:	Master of Science
Program:	Computer Science
Document Type:	Thesis
Advisory Committee:	Wang, David T. (Committee chair)
Date:	1992-01
Keywords:	Image processing Heuristical Methods Image boundary Corner points detection
Availability:	Unrestricted
Abstract:	A heuristics-based method of corner points detection on an image boundary is proposed and implemented. The method uses the sampled boundary distances to find all of the candidate corner points along the image boundary. Then the curvature characteristical value is used to measure the severity of curvature change of the candidate points. Those candidates whose curvature characteristical value is under some threshold are eliminated. The paper also proposed some mechanism to reduce the effect of noises on the boundary. Experiments show that it is an efficient method and it gives satisfactory results on some image boundaries.