30 October 2009 A level set x-ray image segmentation method with local region information
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Proceedings Volume 7497, MIPPR 2009: Medical Imaging, Parallel Processing of Images, and Optimization Techniques; 74972S (2009) https://doi.org/10.1117/12.832486
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China
Abstract
Because x-ray image has low contrast resolution and edge sharpness, this paper presents a novel medical image segmentation base on level set. The traditional Chan-Vese model base on simplify Mumford-Shah model can not segment images with intensity inhomogeneity. We structure energy function in one point's local region; partial differential equations (PDEs) of curve evolution are obtained by minimization of the energy functional. We can obtain global minimum when we expand it to the whole image. Our model can be used to segment images with intensity inhomogeneity. Experimental results verify the effectives and robustness of this segmentation method.
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Wei Zheng, Wei Zheng, Yanjiang Chen, Yanjiang Chen, } "A level set x-ray image segmentation method with local region information", Proc. SPIE 7497, MIPPR 2009: Medical Imaging, Parallel Processing of Images, and Optimization Techniques, 74972S (30 October 2009); doi: 10.1117/12.832486; https://doi.org/10.1117/12.832486
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