平滑的
平面的
计算机科学
计算机视觉
GSM演进的增强数据速率
财产(哲学)
材料科学
人工智能
光学
算法
物理
计算机图形学(图像)
哲学
认识论
作者
Yanwei Qin,Yinghui Zhang,Xin Lu,Yunsong Zhao,Xing Zhao
出处
期刊:Journal of X-ray Science and Technology
[IOS Press]
日期:2023-05-11
卷期号:31 (3): 573-592
摘要
Limited-angle CT scan is an effective way for nondestructive inspection of planar objects, and various methods have been proposed accordingly. When the scanned object contains high-absorption material, such as metal, existing methods may fail due to the beam hardening of X-rays. In order to overcome this problem, we adopt a dual spectral limited-angle CT scan and propose a corresponding image reconstruction algorithm, which takes the polychromatic property of the X-ray into consideration, makes basis material images free of beam hardening artifacts and metal artifacts, and then helps depress the limited-angle artifacts. Experimental results on both simulated PCB data and real data demonstrate the effectiveness of the proposed algorithm.
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