红外烟雾遮蔽条件下目标信号测试及提取方法
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摘要
介绍了红外烟雾遮蔽条件下目标信号测试及提取的总体思想及基本流程;在可识别的阈值范围内,对红外烟幕遮蔽下的目标进行图像增强,采用小波分析及目标局部区域计算方法来提取目标特征向量;将目标从烟幕背景中分割出来。实验证明,该方法效果明显,是对红外烟雾遮蔽下目标信号测试及分析识别的重要方法。
This paper introduces the basic process of the identifying of target area in the smoke interference condition. It uses the image enhancement in the threshold of the realizable scope. In order to judge the region of the objective place, this paper uses the wavelet transform, fractal theory and the regional account of entropy to get eigenvector. Then it uses best entropy that computes the numerical value of threshold to divide the target from the infrared image. The experiment proves that the means of this paper have good effects, and it is the critical step for the identifying of target in the infrared interference condition.
引文
[1]闫敬文.数图像处理[M].北京:国防工业出版社,2007,92-93.
    [2]Reed Todd.A Review of Recent Texture Segmentation and Feature Extraction Techniques[J].CVGIP Image Understanding,1993,57(3):359-367.

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