EdgeFlow: A technique for boundary detection and segmentation

Wei-Ying Ma and B. S. Manjunath
Department of Electrical and Computer Engineering
University of California,
Santa Barbara, CA 93106-9560
E-mail: wei [at] hpl.hp.com, manj [at] ece.ucsb.edu


A novel boundary detection scheme based on "edge flow" is proposed in this paper. This scheme utilizes a predictive coding model to identify the direction of change in color and texture at each image location at a given scale, and constructs an edge flow vector. By iteratively propagating the edge flow, the boundaries can be detected at image locations which encounter two opposite directions of flow in the stable state. A user defined image scale is the only significant control parameter that is needed by the algorithm. The scheme facilitates integration of color and texture into a single framework for boundary detection.
[PDF] [BibTex]
W. Y. Ma and B. S. Manjunath,
IEEE Transactions on Image Processing, vol. 9, no. 8, pp. 1375-1388, Aug. 2000.
Node ID: 307 , DB ID: 104 , VRLID: 76 , Lab: VRL , Target: Journal
Subject: [Detection on Images and Videos] « Look up more