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Proceedings Paper

Edge detection based on genetic algorithm and sobel operator in image
Author(s): Xin Tong; Aifeng Ren; Haifeng Zhang; Hang Ruan; Ming Luo
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Paper Abstract

Genetic algorithm (GA) is widely used as the optimization problems using techniques inspired by natural evolution. In this paper we present a new edge detection technique based on GA and sobel operator. The sobel edge detection built in DSP Builder is first used to determine the boundaries of objects within an image. Then the genetic algorithm using SOPC Builder proposes a new threshold algorithm for the image processing. Finally, the performance of the new edge detection technique-based the best threshold approaches in DSP Builder and Quartus II software is compared both qualitatively and quantitatively with the single sobel operator. The new edge detection technique is shown to perform very well in terms of robustness to noise, edge search capability and quality of the final edge image.

Paper Details

Date Published: 1 October 2011
PDF: 6 pages
Proc. SPIE 8285, International Conference on Graphic and Image Processing (ICGIP 2011), 828572 (1 October 2011); doi: 10.1117/12.913510
Show Author Affiliations
Xin Tong, Xidian Univ. (China)
Aifeng Ren, Xidian Univ. (China)
Haifeng Zhang, Xidian Univ. (China)
Hang Ruan, Xidian Univ. (China)
Ming Luo, Xidian Univ. (China)

Published in SPIE Proceedings Vol. 8285:
International Conference on Graphic and Image Processing (ICGIP 2011)
Yi Xie; Yanjun Zheng, Editor(s)

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