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- W2354694793 abstract "By calculating nonextensive Tsallis entropy of two dimensional histogram of image,one can obtain intensity information of long-range correlation within image as well as denoising.A novel two dimensional Tsallis entropy criterion is proposed,aiming at those images presenting local long-range correlations,such as infrared ones and nondestructive test ones,in which object and background can be considered as two independent parts and information integrity of them can be maximized reserved by the proposed method.Experimental results show that the proposed method is more sensitive to nonextensive parameter q than that considering global long-range correlation,therefore,local long-range correlation hypothesis can be described quantitatively." @default.
- W2354694793 created "2016-06-24" @default.
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- W2354694793 date "2014-01-01" @default.
- W2354694793 modified "2023-09-26" @default.
- W2354694793 title "Application of two dimensional Tsallis entropy in image thresholding segmentation" @default.
- W2354694793 hasPublicationYear "2014" @default.
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