Measuring Overlap-Rate in Hierarchical Cluster Merging for Image Segmentation and Ship Detection

  • Authors:

  • Zhiling Hong;Qingshan Jiang;Heshan Guan;Fangfei Weng

  • Affiliations:

  • Xiamen University, 361005 China;Key Laboratory for Intelligent Information Technology, Fujian 361005, China;Xiamen University, 361005 China;Xiamen University, 361005 China

  • Venue:
  • FSKD '07 Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery - Volume 04
  • Year:
  • 2007

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Abstract

In this paper, we present a definition on the degree of overlap between two clusters and develop an algorithm for calculating the overlap rate. Using this theory, we also develop a new hierarchical cluster merging algorithm for image segmentation and apply it to the ship detection in high resolution image. In our experiment, we compare our method with several existing popular methods. Experimental results demonstrate the effectiveness of the overlap rate measuring method and the new ship detection method.