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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국지능시스템학회 INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGENT SYSTEMS INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGENT SYSTEMS Vol.11 No.1
- 발행연도
- 2011.3
- 수록면
- 19 - 24 (6page)
이용수
초록· 키워드
오류제보하기
Edges represent significant boundary information between objects or classes. Various methods, which are based on differential operation, such as Sobel, Prewitt, Roberts, Canny, and etc. have been proposed and widely used. The methods are based on a linear convolution of mask with pre-assigned coefficients. In this paper, we propose an edge detection method based on Dempster-Shafer's evidence theory to evaluate edgeness of the given pixel. The effectiveness of the proposed method is shown through experimental results on several test images and compared with conventional methods.
목차
Abstract
1. Introduction
2. Preliminary
3. Proposed Method
4. Experimental Results
5. Conclusion
References
참고문헌 (11)
참고문헌 신청
1. [단행본] - R.C.Gonzalez / 2004 / Digital Image Processing using MATLAB / Pearson
2. [학술지(정기간행물)] - J.Canny / 1986 / A computational approach to edge detection / IEEE Trans.Pattern Analysis and Machine Intelligence 8 (6) : 679 ~ 698
3. [학술지(정기간행물)] - L.R.Liang / 2003 / Competitive fuzzy edge detection / Applied Soft Computing 3 (2) : 123 ~ 127
4. [학술지(정기간행물)] - S.Zheng / 2004 / A new efficient SVM based edge detection method / Pattern Recognition Lett 25 (10) : 1143 ~ 1154
5. [학술지(정기간행물)] - C.C.Kang / 2007 / A novel edge detection method based on the maximizing objective function / Pattern Recognition 40 (2) : 609 ~ 618
2. [학술지(정기간행물)] - J.Canny / 1986 / A computational approach to edge detection / IEEE Trans.Pattern Analysis and Machine Intelligence 8 (6) : 679 ~ 698
3. [학술지(정기간행물)] - L.R.Liang / 2003 / Competitive fuzzy edge detection / Applied Soft Computing 3 (2) : 123 ~ 127
4. [학술지(정기간행물)] - S.Zheng / 2004 / A new efficient SVM based edge detection method / Pattern Recognition Lett 25 (10) : 1143 ~ 1154
5. [학술지(정기간행물)] - C.C.Kang / 2007 / A novel edge detection method based on the maximizing objective function / Pattern Recognition 40 (2) : 609 ~ 618
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UCI(KEPA) : I410-ECN-0101-2012-028-004252518