Edge detection by genetic algorithm

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review

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Detail(s)

Original languageEnglish
Title of host publicationIEEE International Conference on Image Processing
Pages478-480
Volume1
Publication statusPublished - 2000

Publication series

Name
Volume1

Conference

TitleInternational Conference on Image Processing (ICIP 2000)
PlaceCanada
CityVancouver, BC
Period10 - 13 September 2000

Abstract

This paper presents a novel edge detection method based on Genetic Algorithm (GA). Only a simple image data set is required for constructing the edge filter. The data set, which consists of a simple image and its expected edge features, is used for training by the GA. The merit of this method is that an effective edge extraction filter can be easily constructed. Results and examples are illustrated in the paper.

Citation Format(s)

Edge detection by genetic algorithm. / Lee, M. K.; Leung, S. W.; Pun, T. L.; Cheung, H. L.

IEEE International Conference on Image Processing. Vol. 1 2000. p. 478-480.

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review