光学学报, 2020, 40 (18): 1834001, 网络出版: 2020-08-28   

变能量X射线融合图像的增强算法研究 下载: 924次

Enhancement Algorithm of Variable Energy X-Ray Fusion Images
作者单位
中北大学信息与通信工程学院, 山西 太原 030051
摘要
变能量X射线成像技术是实现大厚度比目标内部信息检测的重要方法。该方法利用递变管电压获取工件不同厚度区域的透照子图,通过融合获取能够完整表征工件结构信息的高动态范围数字图像。但是受限于显示设备的动态范围,融合的高动态范围X射线图像的细节无法得到有效显示。针对上述问题,利用X射线图像重点表征突变结构信息的特点,提出基于图像梯度非线性增强的算法,通过增强图像中的灰度变化信息来实现图像增强。同时,结合图像的多分辨特性,实现了不同分辨率层级梯度图像的增强和融合,从而有效保留并增强不同变化程度的目标结构信息。最后,对大厚度比目标进行变能量X射线成像,并对融合的高动态范围图像进行增强处理,结果表明,所提方法能够有效实现高动态范围图像结构信息的增强。
Abstract
Variable energy X-ray imaging technology is an important method to realize the internal information detection of large thickness ratio targets. This method can use the gradually changing tube voltage to obtain the trans-illumination sub-graphs of different thickness regions in the workpiece, and then the high dynamic range digital image, which can completely represent the structural information of the workpiece, is realized by fusion. However, due to the limited dynamic range of the display device, the details in the fused high dynamic range X-ray image cannot be displayed effectively. In view of the above problem, we use the characteristic that one X-ray image mainly shows the information of a mutation structure and propose the algorithm based on nonlinear enhancement of image gradients. This algorithm uses the gray-scale change information in the enhanced image to achieve image enhancement and meanwhile is combined with the multi-resolution characteristics of the image to realize the enhancement and fusion of gradient images with different resolution levels, and thus the retention and enhancement of structural information with different degrees of change are realized. Finally, the experiment is designed to image a large thickness ratio target by variable energy X-ray and to enhance the fused high dynamic range image. The results show that this method can be used to effectively enhance the structural information of a high dynamic range image.

刘宾, 赵鹏翔, 赵霞, 张立超. 变能量X射线融合图像的增强算法研究[J]. 光学学报, 2020, 40(18): 1834001. Bin Liu, Pengxiang Zhao, Xia Zhao, Lichao Zhang. Enhancement Algorithm of Variable Energy X-Ray Fusion Images[J]. Acta Optica Sinica, 2020, 40(18): 1834001.

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