Edge detection based on morphological amoebas
Computer Vision and Pattern Recognition
2011-08-23 v1
Abstract
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.
Cite
@article{arxiv.1108.4315,
title = {Edge detection based on morphological amoebas},
author = {Won Yeol Lee and Young Woo Kim and Se Yun Kim and Jae Young Lim and Dong Hoon Lim},
journal= {arXiv preprint arXiv:1108.4315},
year = {2011}
}
Comments
To appear in The Imaging Science Journal