상세정보
학술대회
Bilateral Edge Detection on a Virtual Hexagonal Structure
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- 발행일
- 200611
- 출처
- International Symposium on Visual Computing (ISVC) 2006 (LNCS 4292), v.4292, pp.176-185
- 협약과제
- 06MR1100, 지능형 통합정보 방송(SmaR TV) 기술개발, 안치득
- 초록
- Edge detection plays an important role in image processing area. This paper presents an edge detection method based on bilateral filtering which achieves better performance than single Gaussian filtering. In this form of filtering, both spatial closeness and intensity similarity of pixels are considered in order to preserve important visual cues provided by edges and reduce the sharpness of transitions in intensity values as well. In addition, the edge detection method proposed in this paper is achieved on sampled images represented on a newly developed virtual hexagonal structure. Due to the compact and circular nature of the hexagonal lattice, a better quality edge map is obtained on the hexagonal structure than common edge detection on square structure. Experimental results using proposed methods exhibit encouraging performance. © Springer-Verlag Berlin Heidelberg 2006.
- KSP 제안 키워드
- Edge Detection Method, Edge map, Gaussian Filtering, Image processing, Intensity values, Square structure, Visual cues, bilateral filtering, hexagonal lattice, hexagonal structure, single Gaussian