Visual features extraction and types classification of seabed sediments

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

	Visual features extraction and types classification of seabed sediments
	Li Y(李岩); Xia, Chunlei; Huang Y(黄琰); Ge LY(葛利亚); Tian Y(田宇)
	2014
会议名称	The 7th International Conference on Intelligent Robotics and Application (ICIRA2014)
会议日期	December 17-20, 2014.
会议地点	Guangzhou, China
关键词	Seabed sediments Underwater vehicle Visual features Fractal dimension Gray-level co-occurrence matrix SVMs
页码	153-160
通讯作者	李岩
中文摘要	The purpose of this research is to define and extract the visual features of the seabed sediments to improve the autonomous ability of a underwater vehicle while implementing exploring missions. A scheme of seabed image classification is proposed to identify three types of seabed sediments. The texture features of images are stable and robust visual features in underwater environment comparing with general visual features, and which are described by using gray-level co-occurrence matrix and fractal dimension. Subsequently, for purpose of evaluation, a supervised non-parametric statistical learning technique, support vector machines (SVMs), is applied to verify the availability of extracted texture features on seabed sediments classification. The presented results of seabed type recognition justify the proposed features extracted method valid to seabed type recognition.
收录类别	EI ; CPCI（ISTP）
产权排序	1
会议主办者	South China University of Technology, China
会议录	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
会议录出版者	Springer Verlag
会议录出版地	Berlin
语种	英语
ISSN号	0302-9743
ISBN号	978-3-319-13965-4
WOS记录号	WOS:000354872700015
内容类型	会议论文
源URL	[http://ir.sia.cn/handle/173321/15324]
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,Huang Y,et al. Visual features extraction and types classification of seabed sediments[C]. 见:The 7th International Conference on Intelligent Robotics and Application (ICIRA2014). Guangzhou, China. December 17-20, 2014..