Document Type
Thesis
Date of Award
1-31-1992
Degree Name
Master of Science in Computer Science - (M.S.)
Department
Computer and Information Science
First Advisor
David T. Wang
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.
Recommended Citation
Li, Qiulin, "A heuristical method of corner points detection on an image boundary" (1992). Theses. 2301.
https://digitalcommons.njit.edu/theses/2301
