Multiresolution analysis driven corrosion detection on metal surface
文献类型：会议论文
| 作者 | Jun Jiang; Zhao Wang; Haiguang Guo; Jun Cheng |
| 出版日期 | 2011 |
| 会议名称 | 2011 International Conference on Multimedia and Signal Processing |
| 会议地点 | Guilin, China |
| 英文摘要 | Corrosion is an important defect on the surface of a container. In order to improve the efficiency of defect detection, this paper presents a multiresolutionanalysis method. We analyze the texture and color characteristics. The image is divided into non-overlapping blocks of size 8 × 8 pixels. For each block, db6 wavelet is applied to decompose it into subimages in various scale and wavelet spaces. Then, feature vector is constructed to describe the texture and hue information according to the energy in each block. Finally, k- mean classifier is trained using prior knowledge, and blocks are classified into corrosion andcorrosion free classes based on the nearest neighbor classifier. The tests performed on real experiments confirm the validity of our approach. |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/3249]  |
| 专题 | 深圳先进技术研究院_集成所 |
| 作者单位 | 2011 |
| 推荐引用方式 GB/T 7714 | Jun Jiang,Zhao Wang,Haiguang Guo,et al. Multiresolution analysis driven corrosion detection on metal surface[C]. 见:2011 International Conference on Multimedia and Signal Processing. Guilin, China. |
入库方式： OAI收割
来源：深圳先进技术研究院
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