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计算机工程 ›› 2007, Vol. 33 ›› Issue (11): 168-169,. doi: 10.3969/j.issn.1000-3428.2007.11.061

• 人工智能及识别技术 • 上一篇    下一篇

棉纤维截面图像的自适应阈值Canny边缘检测

禹素萍1,3,曾培峰2,陈建平1   

  1. (1. 上海交通大学“区域光纤通信网与新型光通信系统”国家重点实验室,上海 200030; 2. 东华大学计算机学院,上海 201620; 3. 东华大学信息学院,上海 201620)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2007-06-05 发布日期:2007-06-05

Edge Detection on Fiber Cross-sectional Image by Self-adaptive Threshold Canny Operator

YU Suping1,3, ZENG Peifeng2, CHEN Jianping1   

  1. (1. Key State Laboratory on Fiber-optic Local Area Network and Advanced Optical Communication Systems, Shanghai Jiaotong University, Shanghai 200030; 2. College of Computer Science and Technology, Donghua University, Shanghai 201620; 3. College of Information Science and Technology, Donghua University, Shanghai 201620)
  • Received:1900-01-01 Revised:1900-01-01 Online:2007-06-05 Published:2007-06-05

摘要: 提出了一种适用于纤维截面类图像的自适应阈值Canny边缘检测方法。该方法不仅继承了Canny算子的优点,还能在对象分布数量不明、分布密度不均匀的情况下自适应地计算Canny算子的高阈值T1和低阈值T2,在保证了纤维边缘检出率的同时,更大程度上抑制了背景噪声引入的伪边缘。

关键词: 边缘检测, 纤维截面, 自适应阈值

Abstract: An approach of self-adaptive thresholding is presented for Canny edge detection operator for fiber cross-sectional images. It is applicable to all fiber cross-sectional images regardless of the amount and/or the density of fiber cross-sections. The fiber edges can be detected exactly, and the pseudo edges resulted in from white noise can be restrained effectively.

Key words: Edge detection, Fiber cross-section, Self-adaptive threshold

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