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
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;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery, 2007. FSKD 2007. Fourth International Conference on
Conference_Location :
Haikou
Print_ISBN :
978-0-7695-2874-8
DOI :
10.1109/FSKD.2007.392
