发动机小直径管X射线底片数字化图像增强技术

Digital Image Enhancement on X-ray Film of Aeroengine Small Diameter Tube

Aiming at the problem of image degradation after X-ray film scanning, an improved multi-scale retinex (MSR) enhancement algorithm based on sparrow search is proposed. Taking the digital image of aeroengine small diameter tubes as the research object, the image gradient, frequency domain, and information entropy are employed as the population fitness function of the sparrow search algorithm. Then, realize the adaptive image enhancement is found the optimal values of key parameters in the bilateral filter. Based on the above methods, two kinds of typical actual images are recorded. Compared with limited contrast histogram equalization and traditional MSR processing methods, the proposed method can show defects more clearly on subjective images, and the objective evaluations are improved by at least 10%. The method proposed in this paper can significantly improve the image quality.