5 December 2011 Contour extraction of medical images using improved deformable model by integrating region information
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Proceedings Volume 8005, MIPPR 2011: Parallel Processing of Images and Optimization and Medical Imaging Processing; 80050X (2011) https://doi.org/10.1117/12.902797
Event: Seventh International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2011), 2011, Guilin, China
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.
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Yang-Guang Sun, Yang-Guang Sun, Guang-Yue Hei, Guang-Yue Hei, Jiang-Qing Wang, Jiang-Qing Wang, Ming-Yue Ding, Ming-Yue Ding, } "Contour extraction of medical images using improved deformable model by integrating region information", Proc. SPIE 8005, MIPPR 2011: Parallel Processing of Images and Optimization and Medical Imaging Processing, 80050X (5 December 2011); doi: 10.1117/12.902797; https://doi.org/10.1117/12.902797
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