Edge detection by genetic algorithm

M. K. Lee; S. W. Leung; T. L. Pun; H. L. Cheung

doi:10.1109/ICIP.2000.900999

Edge detection by genetic algorithm

M. K. Lee
, S. W. Leung^*
, T. L. Pun
, H. L. Cheung

^*Corresponding author for this work

Department of Electrical Engineering

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

10 Citations (Scopus)

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. © 2000 IEEE

Original language	English
Title of host publication	Proceedings 2000 International Conference on Image Processing
Publisher	IEEE
Pages	478-480
Volume	1
ISBN (Print)	0-7803-6297-7
DOIs	https://doi.org/10.1109/ICIP.2000.900999
Publication status	Published - Sept 2000
Event	2000 International Conference on Image Processing (ICIP 2000) - Vancouver, BC, Canada Duration: 10 Sept 2000 → 13 Sept 2000

Publication series

Name
ISSN (Print)	1522-4880

Conference

Conference	2000 International Conference on Image Processing (ICIP 2000)
Place	Canada
City	Vancouver, BC
Period	10/09/00 → 13/09/00

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title = "Edge detection by genetic algorithm",

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. {\textcopyright} 2000 IEEE",

author = "Lee, \{M. K.\} and Leung, \{S. W.\} and Pun, \{T. L.\} and Cheung, \{H. L.\}",

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TY - GEN

T1 - Edge detection by genetic algorithm

AU - Lee, M. K.

AU - Leung, S. W.

AU - Pun, T. L.

AU - Cheung, H. L.

PY - 2000/9

Y1 - 2000/9

N2 - 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. © 2000 IEEE

AB - 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. © 2000 IEEE

UR - https://www.scopus.com/pages/publications/0034444324

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-0034444324&origin=recordpage

U2 - 10.1109/ICIP.2000.900999

DO - 10.1109/ICIP.2000.900999

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 0-7803-6297-7

VL - 1

SP - 478

EP - 480

BT - Proceedings 2000 International Conference on Image Processing

PB - IEEE

T2 - 2000 International Conference on Image Processing (ICIP 2000)

Y2 - 10 September 2000 through 13 September 2000

ER -

Edge detection by genetic algorithm

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