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Article Navigation >  Journal of Unmanned Undersea Systems  > 2021  >  29(1): 111-123
ZHANG Yun-feng, LI Juan, LI Ming. Underwater Sea Cucumber Identification and Localization Method Based on Image Processing[J]. Journal of Unmanned Undersea Systems, 2021, 29(1): 111-123. doi: 10.11993/j.issn.2096-3920.2021.01.016
Citation: ZHANG Yun-feng, LI Juan, LI Ming. Underwater Sea Cucumber Identification and Localization Method Based on Image Processing[J]. Journal of Unmanned Undersea Systems, 2021, 29(1): 111-123. doi: 10.11993/j.issn.2096-3920.2021.01.016
shu

Underwater Sea Cucumber Identification and Localization Method Based on Image Processing

doi: 10.11993/j.issn.2096-3920.2021.01.016
  • 1.

    College of Engineering, Ocean University of China, Qingdao 266100, China

  • 2.

    College of Mechanical and Electrical Engineering, Qingdao Agricultural University, Qingdao 266109, China

  • Received Date: 2020-01-07
  • Rev Recd Date: 2020-04-24
  • Publish Date: 2021-03-01
    Abstract
  • An image processing algorithm for sea cucumber identification and localization is proposed to solve the problem of sea cucumber identification and localization in complex environment. First, based on image preprocessing, a fuzzy enhanced fusion RGB sea cucumber thorn and sea cucumber trunk prominent feature algorithm is designed to highlight sea cucumber target features. The outline of a sea cucumber is extracted using an improved image segmentation method, and the linked list method is used to remove false edges and morphological outline optimization, which is necessary to identify the sea cucumber target. The localization of sea cucumber target can be divided into two cases: a sea cucumber target with a regular shape that is located by one-time ellipse fitting, and a sea cucumber target with an irregular shape that is located by extracting the target direction feature of the sea cucumber and designing a quadratic fitting algorithm based on the least external rectangle direction ellipse. Simulation results reveal that the algorithm can effectively identify and locate sea cucumber target, determine the volume of sea cucumber, and ultimately provide an effective method for sustainable and automatic fishing of sea cucumbers.

     

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