A Study on Detecting Optimal Comer Points using Morphology and Human Visual Concept

Jeong, Gi-Ryong

Journal of Navigation and Port Research 2004;28(3):233-238.
Published online April 30, 2004.

수리 형태학과 인간의 시각적 개넘을 이용한 최적의 코너 점 추출을 위한 연구

정기룡

A Study on Detecting Optimal Comer Points using Morphology and Human Visual Concept

Gi-Ryong Jeong

Abstract

Corner point is a very important information to a pattern recognition of image processing. And so, many researchers develope various detecting corner point algoritms. But, there are some problems to get corner points by 8 directional chain code when the degree of edge line is not integer multiplication of 45 degree. So, we propose a new algorithm which is combined with morphology and human visual conception for optimal corner points without the above defects. We get a good simulation result by this proposed algorithm. And so, we think this algorithm is very useful to FA(factory automation) and ship’s radar system to know some coastal area from its image.

Key Words: Edge;Corner point;Chain code;Morphology;Human visual concept