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Technical Program
Paper Detail
| Paper: | TP-P3.6 |
| Session: | Biomedical Image Segmentation and Quantitative Analysis |
| Time: | Tuesday, October 10, 14:20 - 17:00 |
| Presentation: |
Poster
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| 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. |
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