Edge detection based on genetic algorithm and sobel operator in image

Xin Tong; Aifeng Ren; Haifeng Zhang; Hang Ruan; Ming Luo

doi:10.1117/12.913510

1 October 2011 Edge detection based on genetic algorithm and sobel operator in image

Xin Tong, Aifeng Ren, Haifeng Zhang, Hang Ruan, Ming Luo

Proceedings Volume 8285, International Conference on Graphic and Image Processing (ICGIP 2011); 828572 (2011) https://doi.org/10.1117/12.913510
Event: 2011 International Conference on Graphic and Image Processing, 2011, Cairo, Egypt

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.

Citation Download Citation

Xin Tong, Aifeng Ren, Haifeng Zhang, Hang Ruan, and Ming Luo "Edge detection based on genetic algorithm and sobel operator in image", Proc. SPIE 8285, International Conference on Graphic and Image Processing (ICGIP 2011), 828572 (1 October 2011); https://doi.org/10.1117/12.913510

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