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초록
Detecting the edges of objects within images is critical for quality image processing. We present an edge-detection technique that uses morphological amoebas that adjust their shape based on variation in image contours. We evaluate the method both quantitatively and qualitatively for edge detection of images, and compare it to classic morphological methods. Our amoeba-based edge-detection system performed better than the classic edge detectors.
키워드
edge detection; morphological amoeba; structuring element; MATHEMATICAL MORPHOLOGY; NOISY IMAGES; PART-I; FILTERS; TESTS
- 제목
- Edge detection based on morphological amoebas
- 저자
- Lee, W. Y.; Kim, Y. W.; Kim, S. Y.; Lim, J. Y.; Lim, D. H.
- 발행일
- 2012-06
- 유형
- Article
- 권
- 60
- 호
- 3
- 페이지
- 172 ~ 183
- 언어
- ENG
- 출판사
- TAYLOR & FRANCIS LTD
- 발행국가
- 영국
- 분량
- 12 페이지
- ISSN
- E 1743-131X
P 1368-2199