计算机工程 ›› 2007, Vol. 33 ›› Issue (21): 163-165.doi: 10.3969/j.issn.1000-3428.2007.21.058

• 人工智能及识别技术 • 上一篇    下一篇

基于灰度形态学的烟叶图像边缘检测

郭 骏1,潘 申1,胡小建2   

  1. (1. 合肥工业大学计算机与信息学院,合肥 230009;2. 合肥工业大学材料科学与工程学院,合肥 230009)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2007-11-05 发布日期:2007-11-05

Edge Detection in Tobacco Leaf Image Based on Grayscale Morphology

GUO Jun1, PAN Shen1, HU Xiao-jian2   

  1. (1. School of Computer and Information, Hefei University of Technology, Hefei 230009; 2. Department of Material Science and Engineering, Hefei University of Technology, Hefei 230009)
  • Received:1900-01-01 Revised:1900-01-01 Online:2007-11-05 Published:2007-11-05

摘要: 烟叶图像的边缘提取是利用计算机进行烟叶检测与分级的关键步骤。为了能够在提取边缘的同时保留图像的边缘细节信息,该文针对CCD获取的烟叶原始图像,利用灰度形态学的算法,构造了全方位的结构元素进行边缘的提取。实验证明,基于灰度形态学腐蚀变换的边缘检测算法是有效的。

关键词: 灰度形态学, 结构元素, 边缘检测, 烟叶

Abstract: Edge extraction in tobacco leaf image is the key step in tobacco leaf detecting and grading using computer technology. In order to extract edge and keep detailed edge information, the original tobacco leaf images obtained by CCD camera are studied. Omni-directional structure element is structured to detect edge according to the grayscale morphology arithmetic. Efficiency of edge detection based on the grayscale morphology erode transform is proved by experimental results.

Key words: grayscale morphology, structure element, edge detection, tobacco leaf

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