Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
711313 | IFAC Proceedings Volumes | 2008 | 6 Pages |
Abstract
This paper deals with a defects detection algorithm for billet surface. To get good performance, detection algorithm has to solve several difficult problems such as shape of a billet, many kinds of defects, much scale. Especially, the scale, that is a metallic oxide on steel surface, makes worse severely the performance of detection. To solve above problems, this paper presents a new effective defects detection algorithm based on Gabor filters optimized by Genetic Algorithm. The experimental results conducted on real billet surface images and demonstrate the good performance of the proposed algorithm.
Keywords
Related Topics
Physical Sciences and Engineering
Engineering
Computational Mechanics
Authors
Jong Pil Yun, Sung Hoo Choi, Boyeul Seo, Chang Hyun Park, Sang Woo Kim,