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A Genetic Algorithm Approach to Optimize Parameters in Infrared Guidance System
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作者 周德俊 《红外技术》 CSCD 北大核心 2001年第6期20-25,共6页
In the infrared guidance system, the gray level threshold is key for target recognition. After thresholding, a target in the binary image is distinguished from the complex background by three recognition features. Usi... In the infrared guidance system, the gray level threshold is key for target recognition. After thresholding, a target in the binary image is distinguished from the complex background by three recognition features. Using a genetic algorithm, this paper seeks to find the optimal parameters varied with different sub images to compute the adaptive segmentation threshold.The experimental results reveal that the GA paradigm is an efficient and effective method of search. 展开更多
关键词 遗传算法 优化参数 红外导引系统
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