计算机科学 ›› 2016, Vol. 43 ›› Issue (8): 309-312.doi: 10.11896/j.issn.1002-137X.2016.08.063

• 图形图像与模式识别 • 上一篇    下一篇

改进的Canny边缘检测算法

凌凤彩,康牧,林晓   

  1. 洛阳师范学院信息技术学院 洛阳471022,洛阳师范学院信息技术学院 洛阳471022,洛阳师范学院信息技术学院 洛阳471022
  • 出版日期:2018-12-01 发布日期:2018-12-01
  • 基金资助:
    本文受国家自然科学基金项目(U1304616,61502219)资助

Improved Canny Edge Detection Algorithm

LING Feng-cai, KANG Mu and LIN Xiao   

  • Online:2018-12-01 Published:2018-12-01

摘要: Canny算子是一种含有最优化思想的算子,具有较高的检测精度,所以被广泛地应用;因为它本身对噪声比较敏感,所以需要利用Gauss函数进行去噪。分析了原判断非极大值抑制条件存在的问题,提出了新的判断非极大值抑制的条件,设计了新的梯度检测算子,该梯度检测算子可以有效地抑制噪声。数据分析和实验结果说明了所提算法的有效性。

关键词: Canny算子,非极大值抑制,噪声,单像素边缘

Abstract: Canny operator is an operator with optimum ideas.It has higher detection accuracy and is widely used.Since this operator is easily affected by noise,it is essential to filter out the noise by Gaussian filter.This paper analyzed the defects of original non-maximum suppression judging condition,and proposed a new judging condition,and designed a new gradient detection operator that could effectively suppress noise.The data and experimental results analysis indicate the effectiveness of the improved algorithm.

Key words: Canny operator,Non-maximum suppression,Noise,Single pixel edge

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