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Texture analysis for deep seabed type classification based on multifractal spectrum
Li Y(李岩); Huang Y(黄琰); Zhu PQ(祝普强); Luo YT(罗业腾); Sun K(孙凯)
作者部门水下机器人研究室
会议名称OCEANS 2014 MTS/IEEE Taipe
会议日期April 7-10, 2014
会议地点Taipei, Taiwan
会议录名称OCEANS 2014 MTS/IEEE Taipe
出版者IEEE
出版地Piscataway, NJ, USA
2014
页码1-4
收录类别EI
EI收录号20145100343104
产权排序1
ISBN号978-1-4799-3646-5
关键词Multifractal Spectrum Seabed Type Classification Texture Analysis
摘要In order to perform autonomous manipulation in underwater surveys, a robust seabed type classification technique is crucial. Seabed images convey a lot of information about seabed types and various image segmentation methods have been implemented to classify seabed types by analyzing the features of images such as contour and region. However, these strategies are not robust for diverse underwater environments. Therefore, this paper proposes a novel method based on multifractal spectrum to descript and classify the deep seabed types by analyzing the textures. The applicability of multifractal approach to seabed type classification is verified by different sample images of deep seabed.
语种英语
文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/15323
专题水下机器人研究室
作者单位1.State Key Laboratory of Robotics, Shenyang Institute of Automation, CAS, Shenyang, China
2.Shenyang Institute of Automation, CAS, Shenyang, China
3.University of Chinese Academy of Sciences, Beijing, China
推荐引用方式
GB/T 7714
Li Y,Huang Y,Zhu PQ,et al. Texture analysis for deep seabed type classification based on multifractal spectrum[C]. Piscataway, NJ, USA:IEEE,2014:1-4.
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