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- Title
Detection of Surface Defects on Steel Strips Based on Singular Value Decomposition of Digital Image.
- Authors
Sun, Qianlai; Cai, Jianghui; Sun, Zhiyi
- Abstract
Image segmentation technology has been widely used to detect the surface defects in metal industries effectively. In some fields of the manufacturing industry, the determination of defects is more concerned than the accurate location and shape of defects. However, most of current image segmentation algorithms are complex or have difficulty determining the defect. This paper presents a novel method for determining and roughly locating the surface defects of steel strips based on Singular Value Decomposition. The method has no need of image segmentation. The gray level matrix of a digital image is projected on its singular vectors obtained by Singular Value Decomposition. A defect is reflected as a sudden change on the projections. Therefore, the defects can be determined and roughly located according to the sudden changes. The experimental results suggest that this method is valid and convenient for determining the surface defects directly.
- Subjects
STEEL strip -- Defects; SURFACE defects; SINGULAR value decomposition; DIGITAL images; IMAGE segmentation; METAL industry
- Publication
Mathematical Problems in Engineering, 2016, p1
- ISSN
1024-123X
- Publication type
Article
- DOI
10.1155/2016/5797654