A fully automatic approach of color image edge detection

Yangxing Liu, Takeshi Ikenag, Satoshi Goto

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publication2006 IEEE International Conference on Systems, Man and Cybernetics
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1609-1612
Number of pages4
ISBN (Print)1424401003, 9781424401000
DOIs
Publication statusPublished - 2006 Jan 1
Event2006 IEEE International Conference on Systems, Man and Cybernetics - Taipei, Taiwan, Province of China
Duration: 2006 Oct 82006 Oct 11

Publication series

NameConference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
Volume2
ISSN (Print)1062-922X

Conference

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

ASJC Scopus subject areas

  • Engineering(all)

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    Liu, Y., Ikenag, T., & Goto, S. (2006). A fully automatic approach of color image edge detection. In 2006 IEEE International Conference on Systems, Man and Cybernetics (pp. 1609-1612). [4274082] (Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics; Vol. 2). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICSMC.2006.384948