Edge detection based on morphological amoebas
  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. 
Won Yeol Lee, Young Woo Kim, Se Yun Kim, Jae Young Lim, Dong Hoon Lim
cs.CV