Abstract
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.
Original language | English |
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Pages (from-to) | 176-185 |
Number of pages | 10 |
Journal | Lecture Notes in Computer Science |
Volume | 4292 LNCS - II |
Publication status | Published - 2006 |
Externally published | Yes |
Event | 2nd International Symposium on Visual Computing, ISVC 2006 - Lake Tahoe, NV, United States Duration: 6 Nov 2006 → 8 Nov 2006 |
Keywords
- Edge detection
- Gaussian filtering
- Hexagonal image structure
- Image analysis
- Image processing
ASJC Scopus subject areas
- Theoretical Computer Science
- General Computer Science