Giant Benthic HD Image Feature Extraction and Size Estimation Based on Canny Algorithm
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.
Deep-sea image Texture extraction Size estimation Jiao long DSV
Zhongjun Ding Changcheng Wang Pan Wang
Department of Technology,National Deep Sea Center,SOA,No.6 Xian Xia Ling Road,Qingdao,China Department of Automation and Electrical Engineering,Qingdao University of Science & Technology,No.53
国际会议
The 2015 Chinese Intelligent Automation Conference(2015中国智能自动化会议)
福州
英文
123-131
2015-05-08（万方平台首次上网日期，不代表论文的发表时间）