Application of Image Processing Algorithm in Chemical Production Technology

Abstract

With the development and application of industrial CT technology, the nondestructive testing of materials and the manufacturing errors of materials can be effectively monitored and controlled. The basic principle of Industrial CT technology is to adopt the ray bundle of passing through the measured object to get the fault projection data, and then with the image reconstruction method the projection data will be scanned to get two- dimensional grey image. The traditional industrial CT technology is also facing the problem of image quality and image segmentation in image processing field. The industrial CT technology has been improved, in order to make expanders which can meet the needs of LNG liquefaction factories, and effectively control the quality of expanders. First of all, this paper analyzes the expander of LNG production equipment. Secondly, it introduces the industrial CT technology in detail. Then, it introduces the algorithm of image processing. Finally, combined with the new industrial CT technology, it conducts some experiments to verify that the proposed method can effectively detect the equipment like the core components of the expansion machine.