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19 July 2013 Multi-region level set image segmentation based on image energy separation model
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Proceedings Volume 8878, Fifth International Conference on Digital Image Processing (ICDIP 2013); 887825 (2013) https://doi.org/10.1117/12.2030891
Event: Fifth International Conference on Digital Image Processing, 2013, Beijing, China
Abstract
This paper presents a multi-region level set image segmentation method based on image energy separation model. The image feature is extracted by using the image energy decomposition method. We represent the regions by the level set functions with constraint. The coupled Partial Differential Equations (PDE) related to the minimization of the functional are considered through a dynamical scheme. A modified region competition factor is adopted to speed up the cure evolution functions, it also guarantees no vacuum and non-overlapping between the neighbor regions. Several experiments are conducted on both synthetic images and natural image. The results illustrate that the proposed multiregion segmentation method is fast and less sensitive to the initializations.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xue-Min Yin, Hong Yan, Yu-Hua Yao, Jian-Ping Guo, Chong-Fa Zhong, Zhe Zhang, and Yi Wei "Multi-region level set image segmentation based on image energy separation model", Proc. SPIE 8878, Fifth International Conference on Digital Image Processing (ICDIP 2013), 887825 (19 July 2013); https://doi.org/10.1117/12.2030891
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