Speakers
Description
As a beam diagnostic tool with the highest resolution, the 1D-CFC (one-dimensional carbon fiber composite) calorimeter can obtain the key beam parameters such as beam divergence, beam uniformity. According to the design of accelerating system of ion source for CRAFT NNBI (Comprehensive Research Facility for Fusion Technology Negative Ion based Neural Beam Injection system), the CFC calorimeter is designed as a narrow and long structure with the size of 1800mm×680mm. In order to obtain a clear beam profile, two infrared cameras are used to photograph the temperature distribution of CFC surface. Considering the field of view in horizontal and vertical direction, incomplete diagnostic calorimeter infrared images with partially overlapping contents are obtained. In order to analyze conveniently and obtain a complete and accurate image data, the two images acquired from the different infrared camera need to be stitched. In this paper, the global geometric structure of the image is preserved, the overlapping regions are matched using straight line and point features, and for the non-overlapping regions, constraints based on global similar transformation are introduced to reduce perspective and projection distortion, and show the single-view stitching results finally. The experimental results show that this method can obtain pixel-level stitching results in the non-fixed viewpoint, which has stronger robustness and generality compared with the traditional method and can provide effective data for the next step of beam parameter analysis.
