کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
730356 | 892969 | 2012 | 15 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: Bearing defect inspection based on machine vision Bearing defect inspection based on machine vision](/preview/png/730356.png)
Appearance defects inspection plays a vital role in bearing quality control. Human inspection is a traditional way to remove defective bearings, which is instable and time consuming. In this paper, we develop a machine vision system for bearing defect inspection, which can inspect various types of defects on bearing covers, such as deformations, rusts, scratches and so on. The proposed system designs a novel image acquisition system to enhance the defects appearances and get controlled image acquisition environment. A series of image processing methods are proposed or utilized to inspect the defects. Especially, for the deformation defects on seal, we find a common rule on the distribution of projection, and design a simple but effective inspection algorithm based on the rule. The proposed system is evaluated and compared with skilled human by the recall, precision and F-measure. Experimental results show that the proposed vision system has high accuracy and efficiency.
► A machine vision system is designed for the inspection of bearing cover defects.
► A novel image acquisition system is proposed for the deformation defects inspection.
► For deformation defects, a simple but effective inspection method is proposed.
► For the images with non-uniform light, a new image enhancement method is introduced.
Journal: Measurement - Volume 45, Issue 4, May 2012, Pages 719–733