Computer Science – Computer Vision and Pattern Recognition
Scientific paper
2011-08-22
Computer Science
Computer Vision and Pattern Recognition
To appear in The Imaging Science Journal
Scientific paper
10.1179/1743131X11Y.0000000013
Detecting the edges of objects within images is critical for quality image processing. We present an edge-detecting 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.
Hoon Lim Dong
Kim Se Yun
Kim Young Woo
Lee Won Yeol
Lim Jae Young
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