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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2016.4
- 수록면
- 9 - 15 (7page)
이용수
초록· 키워드
오류제보하기
Symmetry is everywhere in the world around us from galaxy to microbes. From ancient times symmetry is considered to be a reflection of the harmony of universe. Symmetry is not only a significant clue for human cognitive process, but also useful information for computer vision such as image understanding system. Application areas include face detection and recognition, indexing of image database, image segmentation and detection, analysis of medical images, and so on. The technique used in this paper extracts edges, and the perpendicular bisector of any two edge points is considered to be a candidate axis of symmetry. The coefficients of candidate axis are accumulated in the coefficient space. Then the axis of symmetry is determined to be the line for which the coefficient histogram has maximum value. In this paper, an improved method is proposed that utilizes the directional information of edges, which is a byproduct of the edge detection process. Experiment on 20 test images shows that the proposed method performs 22.7 times faster than the original method. In another test on 5 images with 4% salt-and-pepper noise, the proposed method detects the symmetry successfully, while the original method fails. This result reveals that the proposed method enhances the speed and accuracy of detection process at the same time.
목차
Abstract
Ⅰ. Introduction
Ⅱ. Symmetry Detection In Coefficient Space
Ⅲ. Hybrid Use Of Location And Direction Of Edges
Ⅳ. Test and Evaluation
Ⅴ. Conclusions
REFERENCES
참고문헌 (13)
참고문헌 신청
M.J. Atallah, “On Symmetry Detection,” IEEE Trans. Computers, vol. 34, no. 7, pp. 663-666, July 1985.
S. Lee and Y. Liu, "Curved glide-reflection symmetry detection," IEEE Trans. PAMI, vol. 34, no. 2,pp. 266-278, 2012.
V. Patraucean and R. G. von Gioi. “Detection of mirror symmetric image patches.” CVPR workshop on Symmetry Detection from Real World Images, pp. 211-216, 2013
H. Akbar et al. “Bilateral Symmetry Detection on the Basis of Scale Invariant Feature Transform.” PLoS ONE 9(8), 2014.
V.S.N. Prasad and B. Yegnanarayana, “Finding Axes of Symmetry from Potential Fields,” IEEE Trans. Image Processing, vol. 13, no. 12, pp. 1559-1566, Dec. 2004.
S. Lee and Y. Liu, "Curved glide-reflection symmetry detection," IEEE Trans. PAMI, vol. 34, no. 2,pp. 266-278, 2012.
V. Patraucean and R. G. von Gioi. “Detection of mirror symmetric image patches.” CVPR workshop on Symmetry Detection from Real World Images, pp. 211-216, 2013
H. Akbar et al. “Bilateral Symmetry Detection on the Basis of Scale Invariant Feature Transform.” PLoS ONE 9(8), 2014.
V.S.N. Prasad and B. Yegnanarayana, “Finding Axes of Symmetry from Potential Fields,” IEEE Trans. Image Processing, vol. 13, no. 12, pp. 1559-1566, Dec. 2004.
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UCI(KEPA) : I410-ECN-0101-2016-325-002841371