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- W2369038586 abstract "Being GAC model and C-V model has the unsatisfactory segmental results and inefficient curve evolution against weak boundary and intensity inhomogeneity images respectively,an improved varitional level set image segmentation method is proposed.Our model consists of an external energy term that integrate the image information from both the gradient and region,and an internal energy term forces the level set function to be close a signed distance function.Therefore completely eliminates the need of re-initialization procedure.The method incorporate the additional constraint information based object's prior knowledge,which can improve the segmentation accuracy.Experimental results show that the method is effectiveness and feasibility on segmenting the noisy blurry boundary and intensity inhomogeneity images." @default.
- W2369038586 created "2016-06-24" @default.
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- W2369038586 date "2009-01-01" @default.
- W2369038586 modified "2023-09-23" @default.
- W2369038586 title "Varitional Level Set Image Segmentation Method Based on Boundary and Region Information" @default.
- W2369038586 hasPublicationYear "2009" @default.
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