Segmentation of biomedical images using active contour model with robust image feature and shape prior

@inproceedings{Yeo2014SegmentationOB,
  title={Segmentation of biomedical images using active contour model with robust image feature and shape prior},
  author={Si Yong Yeo and Xianghua Xie and Igor Sazonov and Perumal Nithiarasu},
  booktitle={International journal for numerical methods in biomedical engineering},
  year={2014}
}
In this article, a new level set model is proposed for the segmentation of biomedical images. The image energy of the proposed model is derived from a robust image gradient feature which gives the active contour a global representation of the geometric configuration, making it more robust in dealing with image noise, weak edges, and initial configurations. Statistical shape information is incorporated using nonparametric shape density distribution, which allows the shape model to handle… CONTINUE READING
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