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Canny思想和Kirsch算法相结合的边缘检测算法

An Edge Detection Algorithm Based on Kirsch Method and Canny Idea

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【作者】 康牧周震林晓

【Author】 KANG Mu;ZHOU Zhen;LIN Xiao;Academy of Information Technology,Luoyang Normal University;

【机构】 洛阳师范学院信息技术学院

【摘要】 Canny算子是一种含有最优化思想的算子,它具有较高的检测精度,但对噪声比较敏感,因此需要利用Gauss函数进行去噪;Kirsch算子具有抑制噪声的能力,但是检测到的边缘不是单像素的.文章首先分析了原Canny算子判断非极大值抑制条件存在的问题,然后提出了新的判断非极大值抑制的条件,将Canny算子的思想与Kirsch算子相结合进行边缘检测.数据分析和实验结果说明了该算法不仅可以有效地抑制噪声,还可以得到单像素边缘.

【Abstract】 Canny operator is an operator with ideas of optimization,which has higher detection accuracy in detecting the edge of the image.Since this operator is easily affected by the noise of image,it is essential to filter out the noise by Gaussian filter.Kirsch operator has the ability to suppress noise,but it is unable to obtain single pixel edge of the image by detection.This paper analyzed the defects of original non-maximum suppression judging condition,proposed a new condition of judging non-maximum suppression,and combined Canny operator idea and Kirsch operator to effectively suppress noise while obtaining single pixel edge of the image.The data and experimental results analysis indicated the effectiveness of combined algorithm.

【基金】 国家自然科学基金项目(U1304616)
  • 【文献出处】 河南大学学报(自然科学版) ,Journal of Henan University(Natural Science) , 编辑部邮箱 ,2017年01期
  • 【分类号】TP391.41
  • 【被引频次】11
  • 【下载频次】201
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