Robust filters for low-level vision

被引:0
|
作者
Marroquin, JL
Servin, M
Rodriguez-Vera, R
机构
[1] Ctr Invest Matemat, Guanajuato 36000, Mexico
[2] Ctr Invest Opt, Leon 37000, Gto, Mexico
关键词
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 first stage in many early vision problems consists in filtering the input image. In this paper we show how to extend the classical results on robust smoothing based on Bayesian estimation with prior Markov random field models to the case of complex-valued pass-band (quadrature) filters. Examples of the application of these results to stereo reconstruction, texture segmentation and fringe pattern analysis in optics are also presented. (C) 1998 Elsevier Science Ltd. All rights reserved.
引用
收藏
页码:169 / 177
页数:9
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