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。
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 environment, greatly enhance the signal noise ratio of target detection, and effectively detect target from complex background. Compared with other methods, this method has more practical value.
出处
《装备环境工程》
CAS
2009年第1期5-9,共5页
Equipment Environmental Engineering
基金
国家自然科学基金(60801047)
陕西省教育厅基金(08JK480)
咸阳师范学院人才引进项目(08XSYK304)
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
self-adaptive genetic algorithm
morphology filter
IR imaging detection
weak small infrared target detection
