Image Segmentation using Curve Evolution and Region Stability

Baris Sumengen, B. S. Manjunath, and Charles Kenney

Dept. of Electrical and Computer Engineering
University of California at Santa Barbara
Santa Barbara, CA 93106
Email: {sumengen, manj, kenney}


A novel scheme for image segmentation is presented. An image segmentation criterion is proposed that gathers similar pixels together to form regions and creates boundaries between two dissimilar regions. This criterion is formulated as a cost function. This cost function is minimized by using gradient-descent methods, which leads to a curve evolution equation that segments the image. The proposed method generalizes previous methods to more complex similarity and distance measures and can be applied to vector valued images such as texture and color images.

[PDF] [BibTex] See also: #410
B. Sumengen, B. S. Manjunath, C. Kenney,
IEEE International Conference on Pattern Recognition (ICPR) 2002, Québec City, Canada, Aug. 2002.
Node ID: 348 , DB ID: 146 , VRLID: 105 , Lab: VRL , Target: Proceedings
Subject: [Detection on Images and Videos] « Look up more