Interactive segmentation using curve evolution and relevance feedback

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.

• Type: Conference
• Year: 2004
• Where: ICIP
• Authors: Motaz A. El Saban, B. S. Manjunath
• Keywords: ICIP 2004, Image Processing, Initial Automatic Segmentation, Interactive Segmentation Algorithm, Interactive Segmentation Tasks, Segmentation Parameters, Simple User Interface