Back to articles
Articles
Volume: 30 | Article ID: art00015
Image
Multi-view Surface Inspection Using a Rotating Table
  DOI :  10.2352/ISSN.2470-1173.2018.09.IRIACV-278  Published OnlineJanuary 2018
Abstract

In this paper, we introduce a method to visually inspect industrial parts by using multi-view images of an industrial part on a rotating table. During the visual inspection of the parts' surfaces, the relationship between the camera pose, the light vectors, and the normal vectors of a part's surface is the key factor in detecting abnormalities. We can change the relationship between the three factors by rotating the part; then, the abnormalities are visible in certain positional relationships. We, therefore, track the points on a part's surfaces in an image sequence and discriminate abnormal points (such as points on scratches or dents) from normal points based on pixel value transitions while rotating the part. The experimental results, which were based on real data of industrial parts, showed that the proposed method could detect the abnormalities on the surfaces.

Subject Areas :
Views 18
Downloads 2
 articleview.views 18
 articleview.downloads 2
  Cite this article 

Tomoya Kaichi, Shohei Mori, Hideo Saito, Junichi Sugano, Hideyuki Adachi, "Multi-view Surface Inspection Using a Rotating Tablein Proc. IS&T Int’l. Symp. on Electronic Imaging: Intelligent Robotics and Industrial Applications using Computer Vision,  2018,  pp 278-1 - 278-5,  https://doi.org/10.2352/ISSN.2470-1173.2018.09.IRIACV-278

 Copy citation
  Copyright statement 
Copyright © Society for Imaging Science and Technology 2018
72010604
Electronic Imaging
2470-1173
Society for Imaging Science and Technology