张丰收, 王飞, 崔凤奎, 刘建亭. 一种基于梯度的亚像素边缘检测算法[J]. 微电子学与计算机, 2011, 28(3): 108-110,114.
引用本文: 张丰收, 王飞, 崔凤奎, 刘建亭. 一种基于梯度的亚像素边缘检测算法[J]. 微电子学与计算机, 2011, 28(3): 108-110,114.
ZHANG Feng-shou, WANG Fei, CUI Feng-kui, LIU Jian-ting. Based on Gradient Subpixel Edge Detecting Algorithm[J]. Microelectronics & Computer, 2011, 28(3): 108-110,114.
Citation: ZHANG Feng-shou, WANG Fei, CUI Feng-kui, LIU Jian-ting. Based on Gradient Subpixel Edge Detecting Algorithm[J]. Microelectronics & Computer, 2011, 28(3): 108-110,114.

一种基于梯度的亚像素边缘检测算法

Based on Gradient Subpixel Edge Detecting Algorithm

  • 摘要: 采用 Sobel 算子确定图像边缘的大致位置,然后用三次样条插值函数对灰度边缘图进行内插计算,使目标边缘定位达到亚像素级.再对插值后的图像采用阈值迭代算法得到阈值特征图像.实验表明,该方法能精确定位目标边缘,达到亚像素精度,优于传统的边缘检测方法.

     

    Abstract: This article uses first by the Sobel operator determination picture edge approximate position, then uses three time transect interpolating function to carry on the interpolation computation to the gradation edge chart, enables the goal edge localization to achieve sub-pixel element level. Uses the threshold value iterative algorithm after the interpolation image to obtain the threshold value characteristic image again. The experiment indicated that this method can accurately locate object′s edge, to achieve sub-pixel accuracy, superior to the traditional edge detection methods.

     

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