Real-time textural defect detection based on label run length co-occurrence matrix
文献类型：会议论文
| 作者 | Bi Mingde; Zou Cao; Sun Zhigang; Li Yesong |
| 出版日期 | 2011 |
| 会议名称 | 2011 International Conference on Transportation, Mechanical, and Electrical Engineering, TMEE 2011 |
| 会议地点 | Changchun, China |
| 英文摘要 | A new algorithm based on label run length co-occurrence matrix is proposed for real-time textural defect detection. Standing on the real-time constraint, 256 gray-levels are reduced to several tone labels so that the computational complexity of feature extraction is greatly reduced. Several features which emphasize continuous and directional property of the defect are extracted from the label run length co-occurrence matrix and used to characterize the presence of the defect. The extracted features of testing images are subjected to a Mahalanobis distance classifier, which is built with non-defective fabric images in the learning stage. The detection results of defects in both plain and twill textured fabrics are presented to validate the proposed algorithm. |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/3675]  |
| 专题 | 深圳先进技术研究院_其他 |
| 作者单位 | 2011 |
| 推荐引用方式 GB/T 7714 | Bi Mingde,Zou Cao,Sun Zhigang,et al. Real-time textural defect detection based on label run length co-occurrence matrix[C]. 见:2011 International Conference on Transportation, Mechanical, and Electrical Engineering, TMEE 2011. Changchun, China. |
入库方式： OAI收割
来源：深圳先进技术研究院
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