Edge Detection Based on Genetic Algorithm and Sobel Operator in Image

摘要：

Genetic algorithm (CA) 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.

关键词： genetic algorithm sobel operator DSP Builder SOPC Builder edge detection

作者: Tong Xin Ren Aifeng Zhang Haifeng Ruan Hang

作者单位: School of Electronic Engineering Xidian University Xian, P. R. China Luo MingSchool of Electronic Engineering Xidian University Xian, P. R. China

会议类型: 国际会议

会议名称: 2010 International Conference on Signal and Information Processing(2010年IEEE信号与信息处理国际会议 ICSIP2010)

会议地点: 长沙

会议语种:英文

页码: 479-482

在线出版日期: 2010-12-14（万方平台首次上网日期，不代表论文的发表时间）