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
- 대한전자공학회 IEIE Transactions on Smart Processing & Computing IEIE Transactions on Smart Processing & Computing Vol.3 No.6
- 발행연도
- 2014.12
- 수록면
- 345 - 352 (8page)
이용수
초록· 키워드
오류제보하기
Edge detection considers the important technical details of digital image processing. Many edge detection operators already perform edge detection in digital color imaging. In this study, the edge of many real color images that represent the type of digital image was detected using a new operator in the least square approximation method, which is a type of numerical method. The Linear Fitting algorithm is computationally more expensive compared to the Canny, LoG, Sobel, Prewitt, HIS, Fuzzy, Parametric, Synthetic and Vector methods, and Robert’ operators. The results showed that the new method can detect an edge in a digital color image with high efficiency compared to standard methods used for edge detection. In addition, the suggested operator is very useful for detecting the edge in a digital color image.
목차
Abstract
1. Introduction
2. Color Edge Detection
3. Stander Detector Operators
4. Parametric Edge Models
5. Classified the color edge detectionmethods
6. The edge detection of color image based on HIS color model
8. Linear Fitting Algorithm
9. Conclusion
References
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UCI(KEPA) : I410-ECN-0101-2016-569-001272529