COMPARISON OF ORIENTATED AND SPATIALLY VARIANT MORPHOLOGICAL FILTERS VS MEAN/MEDIAN FILTERS FOR ADAPTIVE IMAGE DENOISING

被引：1

作者：

Verdu-Monedero, Rafael ^{[1
]}

Angulo, Jesus ^{[2
]}

Larrey-Ruiz, Jorge ^{[1
]}

Morales-Sanchez, Juan ^{[1
]}

机构：

[1] Univ Politecn Cartagena, Cartagena, Spain

[2] MINES ParisTech, Centre Morphol Math, Paris, France

来源：

2010 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING | 2010年

关键词：

Mathematical morphology; spatially variant filtering; directional filtering; MATHEMATICAL MORPHOLOGY;

D O I：

10.1109/ICIP.2010.5651909

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper shows a comparison of spatially-variant discrete operators for denoising gray-level images. These non-iterative operators use a neighborhood that varies over space, adapting their shape and orientation according to the data of the image under study. The orientation of the neighborhood is computed by means of a diffusion process of the average square gradient field, which regularizes and extends the orientation information from the edges of the objects to the homogeneous areas of the image; and the shape of the orientated neighborhood can be either a linear segment or a rectangle of anisotropy given by the distance to relevant edges of the objects. Results on gray-level images show the ability of spatially-variant morphological operators for adaptively preserving the main structures in the image while reducing the noise.

引用

页码：113 / 116

页数：4

共 14 条

[1]

[Anonymous], 1988, Image analysis and mathematical morphology

[2] DECOMPOSITION OF MAPPINGS BETWEEN COMPLETE LATTICES BY MATHEMATICAL MORPHOLOGY .1. GENERAL LATTICES [J].