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Proceedings Paper

Contour extraction of medical images using improved deformable model by integrating region information
Author(s): Yang-Guang Sun; Guang-Yue Hei; Jiang-Qing Wang; Ming-Yue Ding
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Paper Abstract

Traditional deformable models provide a global method for image analysis, but these is easily relapsed into a local optimal in a high noise image and invalid for the image contour with deeply narrow concavities. In this paper, we proposed a novel deformable model to extract the contour of interested object in medical images in medical images. In the procedure of the evolvement of contour curve, by introducing the designed image transform operator to derive the region force from the region information included in the interested object, our method could improve the capacity to alleviate the sensitivity to image noise and converge into complex boundary. Experiments were performed with synthetic and medical images and the feasibility and robustness of our method was demonstrated.

Paper Details

Date Published: 5 December 2011
PDF: 6 pages
Proc. SPIE 8005, MIPPR 2011: Parallel Processing of Images and Optimization and Medical Imaging Processing, 80050X (5 December 2011); doi: 10.1117/12.902797
Show Author Affiliations
Yang-Guang Sun, South-Central Univ. for Nationalities (China)
Huazhong Univ. of Science and Technology (China)
Guang-Yue Hei, South-Central Univ. for Nationalities (China)
Jiang-Qing Wang, South-Central Univ. for Nationalities (China)
Ming-Yue Ding, Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 8005:
MIPPR 2011: Parallel Processing of Images and Optimization and Medical Imaging Processing
Faxiong Zhang; Faxiong Zhang, Editor(s)

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