A novel multi-view X-ray digital imaging stitching algorithm

Abstract

BACKGROUND: In fan beam X-ray imaging applications, several X-ray images sometimes need to be stitched together into a panoramic image because of the size limitations of the detector. OBJECTIVE: This study aims to propose a novel multi-view X-ray digital imaging stitching algorithm (MVS) based on the CdZnTe photon counting linear array detectors to solve the problem of fan beam X-ray stitching deformation. METHODS: The panoramic image is generated in four steps including (1) multi-view projection data acquisition, (2) overlapping positioning, (3) weighted fusion and (4) projected pixel value calculation. Images of a globe and foot are scanned by fan beam X-rays and a CdZnTe detector. The proposed method is applied to stitch together the scanned images of the globe. Three other methods are also used for comparison. Finally, this MVS algorithm is also used in the stitching of scanned images of the foot. RESULTS: Compared with the 50% stitching accuracy of other methods, the new MVS algorithm reached a stitching accuracy of 94.4% . Image distortion on the globe and feet is also eliminated and thus image quality is significantly improved. CONCLUSIONS: This study proposes a new multi-view X-ray digital imaging stitching algorithm. Study results demonstrate the superiority of this new algorithm and its feasibility in practical applications.

Image Stitching Method and Implementation for Immersive 3D Ink Element Animation Production

“…And this also leads to a lack of deeper thinking and spirit in the current immersive 3D ink element animation, a lack of innovation, and the problem of repeated development [5]. The current solution to the problem of missing content is to transform the existing classic 3D ink element animation into immersive 3D ink element animation, which requires the use of image stitching algorithms [6]. At present, research on image stitching algorithms mainly focuses on the stitching of monocular images, with less involvement in the stitching of binocular images.…”

Research on Stitching Algorithm Based on Tree Branch Image

“…Chai, X. C. et al used an up-scaling-down image sampling procedure to obtain pixel-level optimal stitching lines for large remote sensing images [13]. Kang, Y. et al proposed a novel multi-view X-ray digital imaging stitching algorithm (MVS) based on a CdZnTe photon-counting linear array detector to solve the problem of sector-beam X-ray stitching distortion [14]. From the existing research, most of the research is applied to industry, and there are few studies in agriculture, for example, few studies on the stitching technology of fruit tree branches and trunks have been reported.…”