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应用科学学报

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应用图像处理技术的在线损伤检测及应用

李 允， 陈 果， 高绪伟
  

  1. 南京航空航天大学 民航学院，江苏 南京 210016
  • 收稿日期:2008-01-18 修回日期:2008-04-28 出版日期:2008-07-31 发布日期:2008-07-31

On-line Screening for Datecting Product Damages Based on Image Processing

LI Yun, CHEN Guo, GAO Xu-wei
  

  1. College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
  • Received:2008-01-18 Revised:2008-04-28 Online:2008-07-31 Published:2008-07-31

被引次数

1

摘要：

针对香烟条包端面透明纸损伤的在线检测问题，提出了两种基于坐标变换的香烟条包端面透明纸损伤检测新方法。其基本思路是：首先，选取待分析的图像，将图像进行全局阈值分割以得到二值图像；其次，根据图像特征，将图像坐标系进行旋转，依据新坐标下正常和损伤图像的投影值分离程度和概率分布，提出了两个损伤判别准则，即：方差准则和峰数准则；最后，构建香烟条包端面透明纸损伤图像的在线检测系统，利用实际采集到的图像对两个准则进行了验证，结果表明了两种算法的有效性和鲁棒性。本文方法也可用于其它图像的类似损伤在线检测。

关键词: 质量检验, 包装检测, 香烟条包检测, 坐标变换, 图像处理

Abstract: For online damage detection for product packages, this paper proposes two methods based on coordinate transformation. We first select an image region to be analyzed, and obtain binary images using global threshold segmentation. Then, according to the image features, we rotate the coordinate system, and establish two damage recognition criteria, variance criterion and peak number criterion, based on the degree of separation and the probability distribution of projection values of the object pixels in the image. Finally, an image online detection system is set up. The package images are captured to verify the two criteria. The results show that both methods are effective and robust. The proposed technique can be used to similar online detection applications.

Key words: quality inspection, packaging detection, wrap carton detection, coordinate transformation, image processing