A Novel Edge Detection Algorithm of Color Image

被引：0

作者：

Song, Derui ^{[1
]}

Xu, Daoyan ^{[1
]}

Li, Li ^{[2
]}

机构：

[1] Natl Marine Environm Monitoring Ctr, Dalian 116023, Peoples R China

[2] Dalian Univ, Informat Engn Coll, Dalian 116622, Peoples R China

来源：

ADVANCED RESEARCH IN MATERIAL SCIENCE AND MECHANICAL ENGINEERING, PTS 1 AND 2 | 2014年 / 446-447卷

关键词：

LUV Color Space; Edge Detection; Peer Group Filtering; Fast Entropy;

D O I：

10.4028/www.scientific.net/AMM.446-447.976

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

This paper proposes a novel algorithm of edge detection using LUV color space. Firstly, according to peer group filtering (PGF), a nonlinear algorithm for image smoothing and impulse noise removal in color image is used. Secondly, color image edges in an image are obtained automatically by combining an improved isotropic edge detector and a fast entropy threshold technique. Thirdly, according to color distance between the pixel and its eight neighbor-pixels, color image edges can further be detected. Finally, the experiment demonstrates the outcome of proposed algorithm in color image edge detection.

引用

页码：976 / +

页数：3

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