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一种改进的Roberts和灰色关联分析的边缘检测算法
引用本文:文永革,何红洲,李海洋.一种改进的Roberts和灰色关联分析的边缘检测算法[J].工程图学学报,2014(4):637-642.
作者姓名:文永革  何红洲  李海洋
作者单位:绵阳师范学院数学与计算机科学学院;
基金项目:四川省科技厅自然科学基金资助项目(2012JYZ013);绵阳师范学院自然科学基金资助项目(2012A18,2013A12);四川省教育厅科研重点基金资助项目(13ZA114)
摘    要:针对Roberts算子容易漏检及对噪声较敏感的问题,提出一种改进的基于灰色关联分析方法的边缘检测算法GRA-Roberts.通过改进Roberts算子提高其检测精度和抗噪性能,结合灰色关联分析方法,将改进后的Roberts算子作为参考序列,通过计算灰色关联度来检测图像边缘.实验结果表明,GRA-Roberts算法能有效克服Roberts算子算法易漏检和对噪声敏感的问题,且比其他灰色关联结合算法具有更好的检测效果.

关 键 词:Roberts算子  灰色关联分析  抗噪性  边缘检测

An Improved Image Edge Detection Algorithm Based on Roberts and Grey Relational Analysis
Wen Yongge,He Hongzhou,Li Haiyang.An Improved Image Edge Detection Algorithm Based on Roberts and Grey Relational Analysis[J].Journal of Engineering Graphics,2014(4):637-642.
Authors:Wen Yongge  He Hongzhou  Li Haiyang
Affiliation:(College of Math & Computer Science, Mianyang Normal University, Mianyang Sichuan 621000, China)
Abstract:Aiming at the problems of Roberts operator being easy to miss detection pixels and sensitive to noise, an improved edge detection algorithm GRA-Roberts is proposed. By improving the Roberts operator, the precision and the anti-noise performance is enhanced. Combined with the grey relational analysis, referring to the improved Roberts operator, the image edge is detected based on the grey relational grade. The experiment results show that GRA-Roberts can not only get over the above drawbacks of the Roberts operator algorithm effectively, but also get better detection effects compared to other related grey relational algorithms.
Keywords:Roberts operator  grey relational analysis  anti-noise  edge detection
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