ANALYTICAL APPROXIMATIONS FOR NONLINEAR DIFFUSION TIME IN MULTISCALE EDGE ENHANCEMENT

被引：0
|
作者：
Platero, C. [1 ]
Sanguino, J. [1 ]
Tobar, M. C. [1 ]
Poncela, J. M. [1 ]
Asensio, G. [1 ]
机构：
[1] Univ Politecn Madrid, Appl Bioengn Grp, Madrid, Spain
来源：
VISAPP 2009: PROCEEDINGS OF THE FOURTH INTERNATIONAL CONFERENCE ON COMPUTER VISION THEORY AND APPLICATIONS, VOL 1 | 2009年
关键词：
Nonlinear diffusion filter; Multiscale edge enhancement; Segmentation; ANISOTROPIC DIFFUSION; WAVELET SHRINKAGE; REGULARIZATION; SCHEMES;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The image simplification, noise elimination and edge enhancement steps are all fundamental to segmentation tasks. These processing techniques usually require the tuning of their control parameters; a procedure known to be incompatible with automatic segmentation. The aim of this paper is to adopt a procedure, based on nonlinear diffusion, that is capable of auto tuning by means of analytical expressions that relate diffusion times to the gradient module. The numerical method and experimental results are shown in 1D, 2D and 3D.
引用
收藏
页码：78 / 81
页数：4
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