Bulletin of Surveying and Mapping ›› 2021, Vol. 0 ›› Issue (11): 48-53.doi: 10.13474/j.cnki.11-2246.2021.337

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Line target extraction of synthetic aperture sonar image based on Hough line detection and region growing

OUYANG Quanping1,2, ZHOU Li2, WANG Sheng2, SONG Shilin3, LU Bin2, FENG Junjun2   

  1. 1. Wuhan Changjiang Waterway Rescue and Salvage Bureau, Wuhan 430014, China;
    2. School of Marine Technology and Marine Technology and Geomatics, Jiangsu Ocean University, Lianyungang 222005, China;
    3. North China Sea Marine Technical Support Center, State Oceanic Administration, Qingdao 266033, China
  • Received:2020-11-02 Online:2021-11-25 Published:2021-12-02

Abstract: A line target extraction algorithm based on Hough line detection and region growing is proposed to solve the problem of small width (diameter) of line target and serious influence of speckle noise on the image in the process of synthetic aperture sonar image line target extraction. Firstly, Otsu algorithm is used to calculate the growth termination threshold of the region and preliminarily suppress the noise; Secondly, based on the Hough line roughness detection of the image, the detection results are divided unevenly, and then the fine detection is carried out to obtain the seed points growing in the region; Finally, region growing is used to restore the line target. Experimental results show that the algorithm can accurately extract line targets, and the number of seed points selected by the algorithm is increased by 5.37 times compared with the traditional region growth, and the line target extraction results have better continuity and integrity.

Key words: synthetic aperture sonar, line target extraction, Hough line detection, region growing, Otsu algorithm

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