【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。更多还原

【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.更多还原