| 基于形态滤波遗传算法对目标红外图像特征检测 |
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| 引用本文： | 王明军,李应乐,张小安,张辉,王运强.基于形态滤波遗传算法对目标红外图像特征检测[J].装备环境工程,2009,6(1):5-9. |
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| 作者姓名： | 王明军 李应乐 张小安 张辉 王运强 |
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| 作者单位： | 1. 咸阳师范学院物理系,陕西,咸阳,712000
2. 目标与环境国防科技重点试验室,北京,100854 |
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| 基金项目： | 国家自然科学基金，陕西省教育厅科研基金，咸阳师范学院人才引进项目 |
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| 摘 要： | 将形态滤波和自适应遗传算法结合起来,提出了一个用于目标检测的形态滤波器参数优化遗传算法。通过设计了形态滤波的遗传算法,寻求最佳结构元,以实现对目标的自适应检测。作为2个特殊环境中的应用检测实例,分别对固体推进器尾喷焰红外图像和复杂背景下的弱小目标进行检测。实验结果表明该方法能够更好地适应环境变化,更大程度地提高目标信号检测的信号噪声（SNR）比,有效地检测出复杂背景下的目标。
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| 关 键 词： | 自适应遗传算法 形态滤波 红外图像特征提取 红外弱小目标检测 |
Target IR Image Signature Detection Based on Morphology Filtered Genetic Algorithm |
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| WANG Ming-jun,LI Ying-le,ZHANG Xiao-an,ZHANG Hui,WANG Yun-qiang.Target IR Image Signature Detection Based on Morphology Filtered Genetic Algorithm[J].Equipment Environmental Engineering,2009,6(1):5-9. |
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| Authors: | WANG Ming-jun LI Ying-le ZHANG Xiao-an ZHANG Hui WANG Yun-qiang |
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| Institution: | 1.Xianyang Normal College;Xianyang 712000;China;2.Targets and Environments Key Laboratory of National Defence Science and Technology;Beijing 100854;China |
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| Abstract: | A morphology filtered parameter optimized genetic algorithm for target detection was put forward,which combines morphology filter and self-adaptive genetic algorithm.Self-adaptive target detection was realized through morphology filtered genetic algorithm and seeking of the best framework unit.As two special detecting applications,solid thruster plume IR image and weak-small infrared target under complex background were detected.The experimental results testified that this method can adapt to different envi... |
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| Keywords: | self-adaptive genetic algorithm morphology filter IR imaging detection weak small infrared target detection |
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