A fully automatic approach of color image edge detection

Yangxing Liu*, Takeshi Ikenag, Satoshi Goto

*この研究の対応する著者

研究成果: Conference contribution

2 被引用数 (Scopus)

抄録

Edge detection is a vital pre-processing step of many image analysis systems. In this paper, we intend to present a novel algorithm to automatically extract color image edge by integrating multi-dimensional gradient analysis and statistical analysis on local regions. Compared with previous gradient-based edge detection algorithms, our algorithm does not need to select an appropriate threshold against the gradient magnitude. With an elaborate edge detector, we exploit image pixel gradient direction, magnitude, spatial information and region property to obtain color image edge. To avoid the problem of detecting false edges, we conduct statistical analysis on certain local regions, which have high edge density, to further optimize our edge detection result. Experimental results demonstrate the performance of our algorithm on different color images.

本文言語English
ホスト出版物のタイトル2006 IEEE International Conference on Systems, Man and Cybernetics
出版社Institute of Electrical and Electronics Engineers Inc.
ページ1609-1612
ページ数4
ISBN(印刷版)1424401003, 9781424401000
DOI
出版ステータスPublished - 2006
イベント2006 IEEE International Conference on Systems, Man and Cybernetics - Taipei, Taiwan, Province of China
継続期間: 2006 10月 82006 10月 11

出版物シリーズ

名前Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
2
ISSN(印刷版)1062-922X

Conference

Conference2006 IEEE International Conference on Systems, Man and Cybernetics
国/地域Taiwan, Province of China
CityTaipei
Period06/10/806/10/11

ASJC Scopus subject areas

  • 工学一般

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