지원사업
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
- 저널정보
- Korean Institute of Information Scientists and Engineers Journal of Computing Science and Engineering Journal of Computing Science and Engineering Vol.8 No.3
- 발행연도
- 2014.9
- 수록면
- 149 - 156 (8page)
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초록· 키워드
오류제보하기
Skeletonization is a morphological operation that transforms an original object into a subset, which is called a ‘skeleton’. Skeletonization has been intensively studied for decades and is a challenging issue especially for special target objects. This paper proposes a novel approach to the skeletonization of text images based on stroke width detection. First, the preliminary skeleton is detected by using a Canny edge detector with a Tensor Voting framework. Second, the preliminary skeleton is smoothed, and junction points are connected by interpolation compensation. Experimental results show the validity of the proposed approach.
목차
Abstract
Ⅰ. INTRODUCTION
Ⅱ. PROPOSED METHOD
Ⅲ. EXPERIMENT AND COMPARISON
Ⅳ. CONCLUSION
REFERENCES
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UCI(KEPA) : I410-ECN-0101-2015-560-002699369