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A Template Matching Background Filtering Method for Millimeter Wave Human Security Image

机译:毫米波人类安全图像的模板匹配背景滤波方法

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In order to solve the interference of burrs, aliasing and other noises in the background area of millimeter wave human security inspection on the objects identification, an adaptive template matching filtering method is proposed. First, the preprocessed original image is segmented by level set algorithm, then the result is used as a template to filter the background of the original image. Finally, the image after background filtered is used as the input of bilateral filtering. The contrast experiments based on the actual millimeter wave image verifies the improvement of this algorithm compared with the traditional filtering method, and proves that this algorithm can filter the background noise of the human security image, retain the image details of the human body area, and is conducive to the object recognition and location in the millimeter wave security image.
机译:为了解决毫米波人体安全检查背景区域毛刺,混叠等噪声对物体识别的干扰,提出了一种自适应模板匹配滤波方法。首先,通过水平集算法对经过预处理的原始图像进行分割,然后将结果用作模板以过滤原始图像的背景。最后,将经过背景滤波的图像用作双边滤波的输入。基于实际毫米波图像的对比实验证明了该算法与传统滤波方法相比的改进,证明该算法可以滤除人体安全图像的背景噪声,保留人体区域的图像细节,并且有利于物体在毫米波安全图像中的识别和定位。

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