Yang Yaguang
Ciena Corporation, Linthicum, Maryland 21090, USA. yaguang@
Appl Opt. 2004 Feb 20;43(6):1349-54. doi: 10.1364/ao.43.001349.
Unevenly distributed image illumination is a problem in an automatic machine visual inspection system used for fiber connector defect detection. This unevenly distributed illumination makes it difficult to find an appropriate horizontal threshold to convert a gray-scale image to a binary image to separate surface defects, such as blobs and scratches, from the background of the connector. This paper proposes some effective methods to compensate the unevenly distributed illumination problem so that standard image processing methods can be used effectively to detect the defects of the fiber connectors.
在用于光纤连接器缺陷检测的自动机器视觉检测系统中,图像光照分布不均是一个问题。这种分布不均的光照使得难以找到合适的水平阈值将灰度图像转换为二值图像,从而将诸如斑点和划痕等表面缺陷与连接器背景区分开来。本文提出了一些有效的方法来补偿光照分布不均的问题,以便能够有效地使用标准图像处理方法来检测光纤连接器的缺陷。