Interactive segmentation using curve evolution and relevance feedback

M. A. El Saban and B. S. Manjunath
Electrical and Computer Engineering Department, University of California, Santa Barbara
{msaban, manj} [at]


We propose in this paper an interactive segmentation algorithm based on curve evolution techniques. The task of automated segmentation has proven to be highly complex and application dependent. User's knowledge can be used to alleviate the problem. In this paper, we propose the use of a recently developed curve evolution technique [1], augmented with a relevance feedback phase through user interaction. After the initial automatic segmentation is computed, the user presents his positive/negative feedback via a simple user interface. Segmentation parameters are then adapted locally to reflect user's requirements. Experimental results show the usefulness of the proposed approach in interactive segmentation tasks.
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M. El Saban and B. S. Manjunath,
IEEE International Conference on Image Processing, Singapore, Oct. 2004.
Node ID: 401 , DB ID: 202 , VRLID: 139 , Lab: VRL , Target: Proceedings
Subject: [Detection on Images and Videos] « Look up more