On the choice of the parameters for anisotropic diffusion in image processing

被引：163

作者：

Tsiotsios, Chourmouzios ^{[1
]}

Petrou, Maria ^{[2
]}

机构：

[1] Univ London Imperial Coll Sci Technol & Med, Dept Elect & Elect Engn, London SW7 2AZ, England

[2] CERTH, Informat & Telemat Inst, Thessaloniki, Greece

来源：

PATTERN RECOGNITION | 2013年 / 46卷 / 05期

关键词：

Anisotropic diffusion; Image denoising; Stopping criterion; Image quality measures; NONLINEAR DIFFUSION; EDGE-DETECTION; SCALE-SPACE; ENHANCING DIFFUSION; NOISE-REDUCTION; TIME; ENHANCEMENT; SELECTION;

D O I：

10.1016/j.patcog.2012.11.012

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Anisotropic diffusion filtering is highly dependent on some crucial parameters, such as the conductance function, the gradient threshold parameter and the stopping time of the iterative process. The various alternative options at each stage of the algorithm are examined and evaluated and the best choice is selected. An automatic stopping criterion is proposed, that takes into consideration the quality of the preserved edges as opposed to just the level of smoothing achieved. The proposed scheme is evaluated with the help of real and simulated images, and compared with other state of the art schemes using objective criteria. (C) 2012 Elsevier Ltd. All rights reserved.

引用

页码：1369 / 1381

页数：13

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