Giant Benthic HD Image Feature Extraction and Size Estimation Based on Canny Algorithm

doi:10.1007/978-3-662-46469-4_13

	Giant Benthic HD Image Feature Extraction and Size Estimation Based on Canny Algorithm
	Ding, Zhongjun 1; Wang, Changcheng 2; Wang, Pan 2; Deng, Z ; Li, H
	2015
关键词	Deep-sea image Texture extraction Size estimation Jiao long DSV
卷号	336
DOI	10.1007/978-3-662-46469-4_13
页码	123-131
英文摘要	Deep-sea benthic image features are difficult to extract because of its large amounts of information, auxiliary light imaging, and complex environmental background. To solve these problems, current study presents an approach to get texture information of sponge image captured by Jiao Long DSV. First, linear grayscale transformation is used to remove the seamount background and enhance contrast based on the image histogram analysis. The noise introduced by the suspended particles impurities is suppressed by median filter. Subsequently, compared with Prewitt and LoG algorithm, Canny operator is sure to get better edge extraction. Sponge texture information is most complete and noise is further reduced. Finally, mathematical morphology processing is carried out to perfect the texture by connecting intermittent textures, and the size estimation of the sponge based on hypothetical laser ruler is reliable and applicable.
会议录	PROCEEDINGS OF THE 2015 CHINESE INTELLIGENT AUTOMATION CONFERENCE: INTELLIGENT INFORMATION PROCESSING
会议录出版者	SPRINGER
会议录出版地	233 SPRING STREET, NEW YORK, NY 10013, UNITED STATES
语种	英语
WOS研究方向	Automation & Control Systems ; Computer Science ; Engineering
WOS记录号	WOS:000373016800013
内容类型	会议论文
源URL	[http://ir.fio.com.cn/handle/2SI8HI0U/5101]
专题	自然资源部第一海洋研究所
作者单位	1.SOA, Natl Deep Sea Ctr, Dept Technol, 6 Xian Xia Ling Rd, Qingdao, Peoples R China; 2.Qingdao Univ Sci & Technol, Dept Automat & Elect Engn, Qingdao, Peoples R China
推荐引用方式 GB/T 7714	Ding, Zhongjun,Wang, Changcheng,Wang, Pan,et al. Giant Benthic HD Image Feature Extraction and Size Estimation Based on Canny Algorithm[C]. 见:.