인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
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지원사업
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커뮤니티
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논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2012.7
- 수록면
- 579 - 585 (7page)
이용수
초록· 키워드
Gaussian filters are frequently used for scale space based corner detection to remove noise and local variation as many false corners are detected in presence of them. However, an appropriate smoothing scale should be selected for Gaussian filtering method, which is a difficult task. Moreover, edges are smoothed out in this method, which creates difficulty in corner detection. In this paper, we propose an adaptive filtering method based on the anisotropic diffusion for scale space based corner detectors. A new filtering coefficient was developed. Edges and interior regions were filtered separately by selecting appropriate thresholds. Edges were detected by the Canny edge detector and corners were detected by the Affine Resilient Curvature Scale Space (ARCSS) corner detector. Experimental results demonstrated that the proposed adaptive method can detect more corners in less computational time than that of original ARCSS.
#Gaussian function
#Diffusion equation
#Diffusion coefficient
#Affine Resilient Curvature ScaleSpace
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목차
- Abstract
- 1. Introduction
- 2. The Theory
- 3. Proposed Method
- 4. Experimental Results
- 5. Discussions and Conclusion
- References
참고문헌
참고문헌 신청최근 본 자료
UCI(KEPA) : I410-ECN-0101-2014-560-002891192
