ArticleInternational journal for numerical methods in biomedical engineering2014
Segmentation of biomedical images using active contour model with robust image feature and shape prior.
Article in International journal for numerical methods in biomedical engineering, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Segmentation of Plantar Foot Thermal Images Using Prior Information.Sensors (Basel, Switzerland) · 2022Article
- Multi-atlas active contour segmentation method using template optimization algorithm.BMC medical imaging · 2019Article
- Automatic Segmentation of Corpus Callosum in Midsagittal Based on Bayesian Inference Consisting of Sparse Representation Error and Multi-Atlas Voting.Frontiers in neuroscience · 2018Article
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Authors and funding
4 authors.
Funding
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Abstract
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 relatively large shape variations. The segmentation of various shapes from both synthetic and real images depict the robustness and efficiency of the proposed method.
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Registered trials
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