FAST RECURSIVE ALGORITHM FOR INFRARED SHIP IMAGE SEGMENTATION
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TP391.4

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    Abstract:

    A novel infrared image segmentation algorithm for realizing infrared ship segmentation in the lower contrast and complicated background was presented.2-D Otsu method not only considers the distribution of the gray information,but also takes advantage of the spatial neighbor information by using the 2-D histogram of the image,so it often gets better anti-noise performance.However,its time-consuming computation is often an obstacle in application.Particle swarm optimization(PSO) algorithm can realize parallel,random and self-adapt colony search,hence an algorithm for PSO-based local recursive 2-D Otsu segmentation was proposed here.This algorithm can also be used in other infrared image segmentations with complicated backgrounds.

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ZHANG Tian-Xu, ZHAO Guang-Zhou, WANG Fei, ZHU Guang Xi. FAST RECURSIVE ALGORITHM FOR INFRARED SHIP IMAGE SEGMENTATION[J]. Journal of Infrared and Millimeter Waves,2006,25(4):295~300

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  • Received:December 05,2005
  • Revised:March 27,2006
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