A new integrated method for X-ray image correction in radiogram

In industrial Radiogram, scatter noise, uneven distribution of X-ray and other noises directly affect image quality. Among them scatter noise is the major part. Many researchers have employed various methods to make model to get accurate estimation of scatter distribution. But these methods and models are difficult to perform well in other different situations. In this paper we propose a method integrated physical and mathematical processing to solve this problem perfectly. Based on the analysis of the scatter distribution in X-ray image and the contribution of the low frequency noise to image deterioration, in this paper a new integrated method is used to correct these effects as follows, First using the optical theory we deduce the expression of scatter distribution, which is proved to be subject to Gaussian distribution. The expression provides a theoretic basis for removing the scatter with physical method, by which we get remarkable quality-improved Xray images. Then multi-resolution analysis is employed to decompose the images acquired on the above theoretic basis, and it makes the processing of different frequency components of the X-ray images become easy. In our experiment, the results are satisfied. The method not only avoids making different models under different experiment conditions universally, but also provides a promising way for real-time X-ray image correction and detection.