J4 ›› 2012, Vol. 25 ›› Issue (6): 79-81.doi: 10.3976/j.issn.1002-4026.2012.06.018

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Application of K-means clustering algorithm in the recognition of maritime targets

 HUA Zhi-Li, LIU Jun-Li, LIU Bo   

  1. Shandong Provincial Key Laboratory of Ocean Environmental Monitoring Technology, Institute of
     Oceanographic Instrumentation, Shandong Academy of Sciences, Qingdao 266001, China
  • Received:2012-09-01 Published:2012-12-20 Online:2012-12-20

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Abstract:

We employ K-means clustering method to recognize a target in complex ocean scenario in view of the negatives of the traditional image segmentation approaches. Experimental results show that the K-means clustering approach can effectively extract sea targets in complex ocean scenario and keep the detailed information of a target.

Key words: digital image processing, target recognition, image segmentation, K-means clustering

CLC Number: 

  • TP391.4

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