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• W841277650 abstract "This paper presents a local statistical information (LSI) active contour model. Assuming that the distribution of intensity belonging to each region is a Gaussian distribution with spatially varying statistical information, and defining an energy function, the authors integrate the entire image domain. Then, this energy is incorporated into a variational level set formulation. Finally, by minimizing the energy functional, a curve evolution equation can be obtained. Because the image local information is considered, the proposed model can effectively deal with the image with intensity inhomogeneity. Experimental results on synthetic and real images demonstrate that the proposed model can effectively segment the image with intensity inhomogeneity." @default.
• W841277650 created "2016-06-24" @default.
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• W841277650 date "2014-04-01" @default.
• W841277650 modified "2023-09-27" @default.
• W841277650 title "A Local Statistical Information Active Contour Model for Image Segmentation" @default.
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• W841277650 doi "https://doi.org/10.4018/ijmcmc.2014040104" @default.
• W841277650 hasPublicationYear "2014" @default.
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