ICIP 2006, Atlanta, GA
 

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Paper:TP-P3.6
Session:Biomedical Image Segmentation and Quantitative Analysis
Time:Tuesday, October 10, 14:20 - 17:00
Presentation: Poster
Topic: Biomedical Imaging: Biomedical image segmentation and quantitative analysis
Title: SHAPE BASED SEGMENTATION BY LEVEL SET METHOD FOR MEDICAL OBJECTS CONTAINING TWO REGIONS
Authors: Sarawut Tae-O-Sot; Chulalongkorn University 
 Supatana Auethavekiat; Mahidol University 
 Somchai Jitapunkul; Chulalongkorn University 
Abstract: Most of segmentation algorithms are based on the assumption of intensity homogeneity within an object. However, in many applications, the object of interest contains more than one homogenous-intensity region. Even when the object’s shape is known, such object is not effectively extracted. In this paper, we propose a segmentation process for the objects containing 2 homogenous regions. Our method is based on level set method. This method is divided into 2 parts. In the first part, we estimate the pose parameters of the mean shape of the object. In the latter part, the region inside the curve is adjusted to form a homogenous region. Then we segment the adjusted image for the object by level set method. Our experiment on medical images indicated that our method effectively segmented object with one and two homogenous regions.