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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국정보처리학회 JIPS(Journal of Information Processing Systems) JIPS(Journal of Information Processing Systems) 제14권 제6호
- 발행연도
- 2018.1
- 수록면
- 1,331 - 1,346 (16page)
이용수
초록· 키워드
오류제보하기
Aiming at the problem that the gradient-based edge detection operators are sensitive to the noise, causing thepseudo edges, a triqubit-state measurement-based edge detection algorithm is presented in this paper. Combing the image local and global structure information, the triqubit superposition states are used torepresent the pixel features, so as to locate the image edge. Our algorithm consists of three steps. Firstly, theimproved partial differential method is used to smooth the defect image. Secondly, the triqubit-state ischaracterized by three elements of the pixel saliency, edge statistical characteristics and gray scale contrast toachieve the defect image from the gray space to the quantum space mapping. Thirdly, the edge image isoutputted according to the quantum measurement, local gradient maximization and neighborhood chaincode searching. Compared with other methods, the simulation experiments indicate that our algorithm hasless pseudo edges and higher edge detection accuracy.
목차
등록된 정보가 없습니다.
참고문헌 (16)
참고문헌 신청
P. Melin / 2014 / Edge-detection method for image processing based on generalized type-2 fuzzy logic / IEEE Transactions on Fuzzy Systems 22(6):1515~1525
C. S. Tseng / 2016 / Perceptual edge detection via entropy-driven gradient evaluation / IET Computer Vision 10(2):163~171
S. Ansari / 2014 / A survey on conventional edge detection techniques / International Journal of Scientific Research in Computer Science Applications and Management Studies 3(1):1~4
Y. X. Zhao / 2014 / Recognition of welded joint contour by edge detection and mathematical morphology / Journal of Northeastern University 35:115~118
M. González-Hidalgo / 2015 / On the choice of the pair conjunction–implication into the fuzzy morphological edge detector / IEEE Transactions on Fuzzy Systems 23(4):872~884
C. S. Tseng / 2016 / Perceptual edge detection via entropy-driven gradient evaluation / IET Computer Vision 10(2):163~171
S. Ansari / 2014 / A survey on conventional edge detection techniques / International Journal of Scientific Research in Computer Science Applications and Management Studies 3(1):1~4
Y. X. Zhao / 2014 / Recognition of welded joint contour by edge detection and mathematical morphology / Journal of Northeastern University 35:115~118
M. González-Hidalgo / 2015 / On the choice of the pair conjunction–implication into the fuzzy morphological edge detector / IEEE Transactions on Fuzzy Systems 23(4):872~884
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