A Novel Visual Classification Method of Seabed Sediments
文献类型：会议论文
| 作者 | Li Y(李岩) ; Xia, Chunlei; Zhu PQ(祝普强); Huang Y(黄琰); Ge LY(葛利亚)
|
| 出版日期 | 2014 |
| 会议名称 | OCEANS'14 MTS/IEEE St. John's |
| 会议日期 | September 14-19, 2014 |
| 会议地点 | St. John's, Canada |
| 关键词 | seabed images fractal dimension gray-level cooccurrence matrix self-organizing map underwater vehicle robot vision |
| 页码 | 1-4 |
| 通讯作者 | 李岩 |
| 中文摘要 | This study aims at the autonomous seafloor surveillance by underwater vehicles based on computer vision techniques. A novel scheme of seabed image classification is proposed to identify three types of seabed sediments. The texture features of seabed sediments were described by using gray-level co-occurrence matrix and fractal dimension. Subsequently, an unsupervised learning method, Self-Organizing Map, was applied to analyze the seabed images with the extracted texture features. The experimental results demonstrated that the proposed texture feature descriptors were feasible and effective to category the three types of seabed images. |
| 收录类别 | EI ; CPCI（ISTP） |
| 产权排序 | 1 |
| 会议录 | OCEANS'14 MTS/IEEE St. John's
 |
| 会议录出版者 | IEEE |
| 会议录出版地 | Piscataway, NJ, USA |
| 语种 | 英语 |
| ISBN号 | 978-1-4799-4918-2 |
| WOS记录号 | WOS:000369848800038 |
| 源URL | [http://ir.sia.cn/handle/173321/15307]  |
| 专题 | 沈阳自动化研究所_水下机器人研究室 |
| 推荐引用方式 GB/T 7714 | Li Y,Xia, Chunlei,Zhu PQ,et al. A Novel Visual Classification Method of Seabed Sediments[C]. 见:OCEANS'14 MTS/IEEE St. John's. St. John's, Canada. September 14-19, 2014. |
入库方式： OAI收割
来源：沈阳自动化研究所
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