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- W2374200717 abstract "In the target recognition of image,target image can be decomposed into the main structure image and texture image to be processed separately.Whether the image decomposition is good or bad plays a vital role on recognition effect.Therefore,the algorithm of the partial differential equation image decomposition based on MumfordShah-G(MS-G)model was proposed to obtain accurate main structure image and texture details.First,the image was decomposed by using MS-G model,and then entropy was used to measure its information and further reflect the decomposition performance of MS-G model.Quantization reflected the decomposition performance of MS-G model.The relation between the number of iterations and the decomposition performance of MS-G model was researched using the algorithm in the paper.The experiments indicate that the more the number of iterations is,the better the decomposition performance of MS-G model is." @default.
- W2374200717 created "2016-06-24" @default.
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- W2374200717 date "2010-01-01" @default.
- W2374200717 modified "2023-09-23" @default.
- W2374200717 title "Application of image decomposition based on Mumford-Shah model and G-space" @default.
- W2374200717 hasPublicationYear "2010" @default.
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