Computer Engineering and Applications ›› 2015, Vol. 51 ›› Issue (23): 199-202.

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Multi-threshold and read-time edge detection method based on Sobel gradient template

SONG Shuang1, REN Hong’e1,2, GUAN Jun1   

  1. 1.College of Information and Computer Engineering, Northeast Forestry University, Harbin 150040, China
    2.Forestry Intelligent Equipment Engineering Research Center, Harbin 150040, China
  • Online:2015-12-01 Published:2015-12-14

基于Sobel梯度模板的多阈值实时边缘检测方法

宋  爽1,任洪娥1,2,官  俊1   

  1. 1.东北林业大学 信息与计算机工程学院,哈尔滨 150040
    2.黑龙江省林业智能装备工程研究中心,哈尔滨 150040

Abstract: To solve the problems such as short edge, edge loss and noise?sensitivity that exist in some traditional edge detection methods, a multi-threshold and real-time one based on Sobel gradient template is proposed in this paper. It collects pacesetters which are used for edge positioning under large threshold and determines search filed which is used for edge linking under small threshold. It extracts final edges with these edge clues and information collected under different thresholds by the thoughts of a connect-the-dots drawing game. Experimental results show that this method runs fast and has good real-time performance, and edges detected by it equip with single pixel width, position accuracy as well as good continuity.

Key words: edge detection, gradient, multi-threshold, real-time

摘要: 为了解决传统边缘检测方法存在的边缘短小、边缘丢失和噪声敏感等问题,提出一种基于Sobel梯度模板的多阈值实时边缘检测方法。该方法在大阈值下收集用于边缘定位的标兵点,在小阈值下确定用于边缘连接的搜索区域,并结合一种连点画图游戏的思想,利用不同阈值下收集的边缘线索和信息提取最终的边缘。实验结果证明,该方法运行速度快,具有较好的实时性,检测的边缘为单像素宽度,定位精确,连续性好。

关键词: 边缘检测, 梯度, 多阈值, 实时性