Texture analysis for deep seabed type classification based on multifractal spectrum

CORC > 沈阳自动化研究所 > 中国科学院沈阳自动化研究所 > 水下机器人研究室

	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)
	2014
会议名称	OCEANS 2014 MTS/IEEE Taipe
会议日期	April 7-10, 2014
会议地点	Taipei, Taiwan
关键词	multifractal spectrum seabed type classification texture analysis
页码	1-4
中文摘要	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.
收录类别	EI
产权排序	1
会议录	OCEANS 2014 MTS/IEEE Taipe
会议录出版者	IEEE
会议录出版地	Piscataway, NJ, USA
语种	英语
ISBN号	978-1-4799-3646-5
内容类型	会议论文
源URL	[http://ir.sia.cn/handle/173321/15323]
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,Huang Y,Zhu PQ,et al. Texture analysis for deep seabed type classification based on multifractal spectrum[C]. 见:OCEANS 2014 MTS/IEEE Taipe. Taipei, Taiwan. April 7-10, 2014.