数字辐射图像的自适应处理方法研究

Study on Self-adapting Processing Method in Radiant Image

分析了数字辐射成像的基本原理、方法和特点,阐述了目前处理方法存在的不足。根据采集信号的分布特点,提出了一种基于小波变换的自适应的图像处理方法。该方法将射线成像系统的采集信号做分段灰度变换,将变换得到的多幅图像利用小波变换进行图像融合,以增强射线图像的显示效果,再采用非线性的颜色分配方法为图像加上伪彩色,有效的提高了图像的分辨能力,提高了工件检测效率。此方法在数字辐射成像系统中得到了成功的应用。

This paper describes principle and character of digital radiography. After analyzing the drawbacks of current processing methods and specialty of collected signals, a new self-adapting method based on the wavelet transform is applied to process radiation image. The method maps the subsection of signal to 0-255 to form several gray images and then fuses these images to form a new enhanced image, then uses nonlinear color assignment scheme increasing the image resolution. The experiment results show that the self-adapting processing method is better than traditional ones.