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基于各向异性扩散方程的Canny边缘检测算法

Canny edge detection algorithm based on anisotropic diffusion equations

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【作者】 张洁檀结庆

【Author】 ZHANG Jie , TAN Jie-qing(1.College of Computer and Information, Hefei University of Technology, Hefei Anhui 230009, China;2. Institute of Applied Mathematics, Hefei University of Technology, Hefei Anhui 230009, China)

【机构】 合肥工业大学计算机与信息学院合肥工业大学应用数学研究所

【摘要】 Canny边缘检测算法由于使用高斯滤波对图像进行平滑,往往使得算法的信噪比和定位精度下降,从而产生一些虚假边缘,使角点变圆。针对Canny算法所出现的问题提出了一种改进方法,运用各向异性扩散方程代替高斯滤波,并对扩散后的图像做图像增强。实验结果表明,该算法有效地提高了边缘检测的准确性,得到了比较理想的边缘检测效果。

【Abstract】 The Canny edge detection algorithm which used Gaussian filter for smoothing the image may lead to lower SNR and higher edge location error, which produced false edge and corner roundness. To solve these problems, an improved edge detection algorithm was proposed by replacing Gaussian filter with anisotropic diffusion equations, and the image enhancement was carried out after diffusion. Experimental results show that the accuracy of edge detection is improved evidently, and a much better edge detection effect is obtained.

【基金】 国家自然科学基金资助项目(60773043;60473114);安徽省自然科学基金资助项目(070416273X);安徽省教育厅科技创新团队基金资助项目(2005TD03)
  • 【文献出处】 计算机应用 ,Journal of Computer Applications , 编辑部邮箱 ,2008年08期
  • 【分类号】TP391.41
  • 【被引频次】36
  • 【下载频次】396
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