Image Filtering Based on Locally Estimated Geodesic Functions

被引：1
|
作者：
Grazzini, Jacopo [1 ]
Soille, Pierre [1 ]
机构：
[1] Commiss European Communities, Joint Res Ctr, Spatial Data Infrastruct Unit, Inst Environm & Sustainabil, I-21027 Ispra, VA, Italy
来源：
COMPUTER VISION AND COMPUTER GRAPHICS: THEORY AND APPLICATIONS | 2009年 / 24卷
关键词：
NONLINEAR DIFFUSION; DISTANCE; SPACE; EDGE;
D O I：
10.1007/978-3-642-10226-4_10
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper addresses the problem of edge-preserving smoothing of natural images. A novel adaptive approach as a preprocessing stage in feature extraction and/or image segmentation. It performs a weighted convolution by combining both spatial and tonal information in a single similarity measure based on the local calculation of geodesic time functions. Two different strategies are derived for smoothing heterogeneous areas while preserving relevant structures.
引用
收藏
页码：123 / 134
页数：12
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