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Intelligent identification of remnant ridge edges in region west of Yongxing Island, South China Sea
Wang, Weiwei1; Guo, Jing1; Cai, Guanqiang2; Wang, Dawei3; Wang, Weiwei(China Univ Petr, Coll Informat & Control Engn, Qingdao 266580, Peoples R China); Wang, Dawei(Chinese Acad Sci, Inst Deep Sea Sci & Engn, Lab Marine Geophys & Georesources, Sanya 572000, Peoples R China)
2018-02-01
Source PublicationJOURNAL OF OCEAN UNIVERSITY OF CHINA
Volume17Issue:1Pages:118-128
Contribution Rank第1完成单位 ; 第2完成单位 ; 第3完成单位
AbstractEdge detection enables identification of geomorphologic unit boundaries and thus assists with geomorphical mapping. In this paper, an intelligent edge identification method is proposed and image processing techniques are applied to multi-beam bathymetry data. To accomplish this, a color image is generated by the bathymetry, and a weighted method is used to convert the color image to a gray image. As the quality of the image has a significant influence on edge detection, different filter methods are applied to the gray image for de-noising. The peak signal-to-noise ratio and mean square error are calculated to evaluate which filter method is most appropriate for depth image filtering and the edge is subsequently detected using an image binarization method. Traditional image binarization methods cannot manage the complicated uneven seafloor, and therefore a binarization method is proposed that is based on the difference between image pixel values; the appropriate threshold for image binarization is estimated according to the probability distribution of pixel value differences between two adjacent pixels in horizontal and vertical directions, respectively. Finally, an eight-neighborhood frame is adopted to thin the binary image, connect the intermittent edge, and implement contour extraction. Experimental results show that the method described here can recognize the main boundaries of geomorphologic units. In addition, the proposed automatic edge identification method avoids use of subjective judgment, and reduces time and labor costs.
SubtypeArticle
KeywordGeomorphology Mapping Edge Detection Image Processing
WOS HeadingsScience & Technology ; Physical Sciences
DOI10.1007/s11802-018-3508-8
URL查看原文
Indexed BySCI
Language英语
WOS KeywordSWITCHING MEDIAN FILTER ; XISHA TROUGH ; GEOMORPHOLOGY ; IMAGES ; FLOOR ; ENHANCEMENT ; ALGORITHMS ; EVOLUTION ; OCEANS ; DEPTH
WOS SubjectOceanography
WOS IDWOS:000419533800012
Citation statistics
Cited Times:2[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.idsse.ac.cn/handle/183446/5261
Collection深海科学研究部_深海地球物理与资源研究室
Corresponding AuthorWang, Weiwei; Wang, Dawei; Wang, Weiwei(China Univ Petr, Coll Informat & Control Engn, Qingdao 266580, Peoples R China); Wang, Dawei(Chinese Acad Sci, Inst Deep Sea Sci & Engn, Lab Marine Geophys & Georesources, Sanya 572000, Peoples R China)
Affiliation1.China Univ Petr, Coll Informat & Control Engn, Qingdao 266580, Peoples R China
2.Guangzhou Marine Geol Survey, Guangzhou 510760, Guangdong, Peoples R China
3.Chinese Acad Sci, Inst Deep Sea Sci & Engn, Lab Marine Geophys & Georesources, Sanya 572000, Peoples R China
Recommended Citation
GB/T 7714
Wang, Weiwei,Guo, Jing,Cai, Guanqiang,et al. Intelligent identification of remnant ridge edges in region west of Yongxing Island, South China Sea[J]. JOURNAL OF OCEAN UNIVERSITY OF CHINA,2018,17(1):118-128.
APA Wang, Weiwei,Guo, Jing,Cai, Guanqiang,Wang, Dawei,Wang, Weiwei,&Wang, Dawei.(2018).Intelligent identification of remnant ridge edges in region west of Yongxing Island, South China Sea.JOURNAL OF OCEAN UNIVERSITY OF CHINA,17(1),118-128.
MLA Wang, Weiwei,et al."Intelligent identification of remnant ridge edges in region west of Yongxing Island, South China Sea".JOURNAL OF OCEAN UNIVERSITY OF CHINA 17.1(2018):118-128.
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