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Automatic water line detection for an USV system
Wei YJ(魏阳杰); He YQ(何玉庆)
Department机器人学研究室
Conference Name6th Annual IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, IEEE-CYBER 2016
Conference DateJune 19-22, 2016
Conference PlaceChengdu, China
Source Publication6th Annual IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, IEEE-CYBER 2016
PublisherIEEE
Publication PlacePiscataway, NJ, USA
2016
Pages261-266
Indexed ByEI ; CPCI(ISTP)
EI Accession number20164302940174
WOS IDWOS:000389835200049
Contribution Rank2
ISSN2379-7711
ISBN978-1-5090-2732-3
AbstractReal-time and accurate detection of the sailing area or water area is an enabling technique for an unmanned surface vehicle (USV) system. However, research on water line detection based on optical images is rare, and current water line detection method is difficult to be used in real application. An automatic water line detection method based on optical images is proposed and validated with a practical USV system. First, the basic principle of structure extraction is introduced to preprocess the original river images so that the textures resulted from the USV motion, wind and illumination is removed; Then, gray level co-occurrence matrix (GLCM) and local binary patterns (LBP) are combined to calculate the texture information of the river images, and a water line detection method is proposed based on the entropy indicator and Hough transformation. Finally, the water lines of many practical images captured by our USV system moving on an inland river are tested with our new proposed detection method. The results show that the proposed algorithm is an effective method for detecting the complicated water lines in real applications.
Language英语
Citation statistics
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/19300
Collection机器人学研究室
Corresponding AuthorWei YJ(魏阳杰)
Affiliation1.College of Computer Science and Engineering, Northeastern University, Wenhua Str. 3, Shenyang, China
2.State Key Laboratory of Robotics, Shenyang Institute of Automation, CAS, Nanta Str. 114, Shenyang, China
Recommended Citation
GB/T 7714
Wei YJ,He YQ. Automatic water line detection for an USV system[C]. Piscataway, NJ, USA:IEEE,2016:261-266.
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