원문정보
보안공학연구지원센터(IJHIT)
International Journal of Hybrid Information Technology
Vol.5 No.1
2012.01
pp.37-46
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
Edge detection aims to mark sharp intensity changes in an image and is a basis for a large number of image analysis and machine vision applications. Ant colony optimization is an evolutionary optimization algorithm which is inspired by food searching behaviour of ant species. An edge detection algorithm that combines an ant colony optimization and fuzzy logic is presented in this paper. The heuristics information for movement of ants is decided by using fuzzy logic. Experimental results are provided to demonstrate the superior performance of proposed method.
목차
Abstract
1. Introduction
2. Ant Colony Optimization for Edge Detection
3. The Proposed Method
3.1. Algorithm of the Proposed Method
4. Experimental Results
5. Conclusions
References
1. Introduction
2. Ant Colony Optimization for Edge Detection
3. The Proposed Method
3.1. Algorithm of the Proposed Method
4. Experimental Results
5. Conclusions
References
저자정보
참고문헌
자료제공 : 네이버학술정보
