An Adaptive Segmentation Algorithm Based on Threshold Surface
| Periodical | Advanced Materials Research (Volumes 424 - 425) |
|---|---|
| Main Theme | Advanced Research on Engineering Materials, Energy, Management and Control |
| Edited by | Helen Zhang and David Jin |
| Pages | 1287-1292 |
| DOI | 10.4028/www.scientific.net/AMR.424-425.1287 |
| Citation | Ling Ouyang et al., 2012, Advanced Materials Research, 424-425, 1287 |
| Online since | January, 2012 |
| Authors | Ling Ouyang, Dong Yun Wang |
| Keywords | Cord Fabric, Defects Inspection, Image Segmentation, Machine Vision |
| Price | US$ 28,- |
In an online defects inspection system for cord fabric based on machine vision, Image segmentation for cord fabric defects has been the heat and difficult problem. An adaptive segmentation algorithm using threshold surface is presented in this paper. This method inspects defects through detecting the change of image gray levels caused by the difference in optic character between glass and defects. The experiment results indicate that the proposed method has low computation cost, fast speed and good segmentation performance. It is in accord with the requirements of online inspection system such as reliability, real-time, and veracity