Graph Partitioning Active Contours for Knowledge-Based Geo-Spatial Segmentation

Baris Sumengen, Sitaram Bhagavathy, and B. S. Manjunath
Department of Electrical and Computer Engineering
University of California, Santa Barbara, CA 93106.
{sumengen, sitaram, manj} [at]


Our contribution in this paper is two-fold. First, we extend our previous curve evolution method based on pairwise similarities. This curve evolution equation combines the grouping abilities of active contours and graph partitioning techniques. Connections of our method to spectral graph partitioning are investigated and comparisons are made. Second, in a model-based segmentation scenario, we propose a method to improve segmentation quality by iteratively modifying the model using feedback from segmentation of a labeled training set. Our purpose here is to segment objects in geo-spatial images by integrating domain knowledge with the segmentation method. We achieve our goal by combining a statistical model for the object with a knowledge-guided segmentation method. Experimental results show that this framework is effective for model-based segmentation of complex geo-spatial objects.
[PDF] [BibTex]
Baris Sumengen, Sitaram Bhagavathy and B. S. Manjunath,
IEEE CVPR Workshop on Perceptual Organization in Computer Vision (POCV), Washington, DC, Jun. 2004.
Node ID: 377 , DB ID: 175 , VRLID: 132 , Lab: VRL , Target: Conference
Subject: [Detection on Images and Videos] « Look up more