DocumentCode
2426882
Title
Measuring Overlap-Rate in Hierarchical Cluster Merging for Image Segmentation and Ship Detection
Author
Hong, Zhiling ; Jiang, Qingshan ; Guan, Heshan ; Weng, Fangfei
Author_Institution
Xiamen Univ., Xiamen
Volume
4
fYear
2007
fDate
24-27 Aug. 2007
Firstpage
420
Lastpage
425
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.
Keywords
image segmentation; object detection; pattern clustering; ships; hierarchical cluster merging; high resolution image; image segmentation; overlap rate measurement; ship detection; Clustering algorithms; Computer science; Histograms; Image resolution; Image segmentation; Iterative algorithms; Marine vehicles; Merging; Sea measurements; Software measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems and Knowledge Discovery, 2007. FSKD 2007. Fourth International Conference on
Conference_Location
Haikou
Print_ISBN
978-0-7695-2874-8
Type
conf
DOI
10.1109/FSKD.2007.392
Filename
4406424
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