An Enhancement Algorithm for Concrete Imaging Based on WDCT Network

Field loading tests with CT can research the damage evolution process of concrete under different experimental conditions, which is of great significance for the research of concrete materials. In the process of field loading tests, the occlusion of field loading equipment and the limitation of sampling time lead to the limited-angle problem and the few-view problem. Traditional algorithms can cause serious image artifacts with incomplete data. We propose to use WDCT network to enhance ART-TV reconstruction images and build a concrete simulation data set to compare the difference between our method and the classic method enhancing FBP reconstructed images with U-Net on the subjective effect and objective indicators. The experiment results show that our method can accurately reconstruct stones and cracks inside the concrete and effectively reduce image artifacts. The objective indicators of images are greatly improved.