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The Application of Multi-scale Morphological Filter Based on Differential image In Low Intense X-ray Image System

机译:基于差分图像的多尺度形态学滤波器在低强度X射线图像系统中的应用

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摘要

New structure low intensity x-ray image system is mainly made of plane plate mode x-ray intensifier of single proximity focus and CCD data acquisition and processing system. The paper explains the noise source and characteristic of the low intensity x-ray image system. By the system composition, the image noise source of low x-ray imaging system is constituted with quantum noise, paniculate noise and dark noise of CCD. Then the compound methods of the "multi-frame mean + morphological transform filter" is submitted which deals with the imaging noise. Firstly, some frame images is superimposed, then mean image is calculated from those images, which is under the principle of noise non-correlation. Secondly, distinguishing with the conventional ways of morphological transformation filtering algorithm, the differential image information is referred to de-noising. Under the multi-scale morphological thought, the differential image which is obtained from the source image include s noise and some image details. After the noise of the differential image is cut off by the wavelet translation, the differential image is added to the last filtered image by the multi-scale morphological filter, then the clean image is achieved which has no noise but keeps the image details.
机译:新型结构的低强度X射线图像系统主要由单点聚焦的平板式X射线增强器和CCD数据采集与处理系统组成。本文解释了低强度X射线图像系统的噪声源和特性。通过系统组成,低X射线成像系统的图像噪声源由CCD的量子噪声,微粒噪声和暗噪声组成。然后提出了处理图像噪声的“多帧均值+形态变换滤波器”的复合方法。首先,将一些帧图像进行叠加,然后从这些图像中计算出均值图像,这是在噪声不相关原理下进行的。其次,区别于传统的形态学变换滤波算法,将差分图像信息称为去噪。在多尺度形态学思想下,从源图像获得的差分图像包括噪声和一些图像细节。通过小波平移去除差分图像的噪声后,通过多尺度形态学滤波器将差分图像添加到最后的滤波图像中,从而获得了无噪声但保留图像细节的清晰图像。

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