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

页码：123 / 134

页数：12

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