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- W2560299656 abstract "Chan-Vese is an important and well-established segmentation method. However, it tends to be challenging to implement, including issues such as initialization problems and establishing the values of several free parameters. The paper presents a detailed analysis of Chan-Vese framework. It establishes a relation between the Otsu binarization method and the fidelity terms of Chan-Vese energy functional, allowing for intelligent initialization of the scheme. An alternative, fast, and parameter-free morphological segmentation technique is also suggested. Our experiments indicate the soundness of the proposed algorithm." @default.
- W2560299656 created "2016-12-16" @default.
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- W2560299656 date "2016-01-01" @default.
- W2560299656 modified "2023-09-27" @default.
- W2560299656 title "Chan-Vese Revisited: Relation to Otsu’s Method and a Parameter-Free Non-PDE Solution via Morphological Framework" @default.
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- W2560299656 doi "https://doi.org/10.1007/978-3-319-50835-1_19" @default.
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