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Edge detection based on morphological amoebas
- Authors
- Lee, W. Y.; Kim, Y. W.; Kim, S. Y.; Lim, J. Y.; Lim, D. H.
- Issue Date
- Jun-2012
- Publisher
- TAYLOR & FRANCIS LTD
- Keywords
- edge detection; morphological amoeba; structuring element
- Citation
- IMAGING SCIENCE JOURNAL, v.60, no.3, pp 172 - 183
- Pages
- 12
- Indexed
- SCI
SCIE
SCOPUS
- Journal Title
- IMAGING SCIENCE JOURNAL
- Volume
- 60
- Number
- 3
- Start Page
- 172
- End Page
- 183
- ISSN
- 1368-2199
1743-131X
- Abstract
- 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.
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