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- W2391644227 abstract "Aiming at the problems of the sensitivity to noise,the low computational efficiency and the segmentation result depended on heavily the initial value,we put forward an image segmentation method based on KFCM and improved CV model.Firstly,the average nuclear fuzzy clustering method was used to determine the interest area as the initial value in the algorithm.Then we improved the efficiency of iterative calculation of the CV model in calculation and time by the Split Bregman method.The experimental results show that this algorithm not only keeps the advantage of image segmentation algorithm,but also has obvious effect on the noise performance and segmentation efficiency." @default.
- W2391644227 created "2016-06-24" @default.
- W2391644227 creator A5018054686 @default.
- W2391644227 date "2014-01-01" @default.
- W2391644227 modified "2023-09-24" @default.
- W2391644227 title "Split Bregman Method of Image Segmentation Based on KFCM and Improved CV Model" @default.
- W2391644227 hasPublicationYear "2014" @default.
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