Medical Image enhancement based on frame accumulation and registration technology
Jingqi Fei, Zhijiang Zheng, Fangzhou Li, Mengmeng Du, Jingyu Li · 2023
Medical images serve as an important carrier and auxiliary tool for modern medical workers to analyze and study health conditions. However, the fact that many medical images have unclear features, and low definition makes it impossible to provide the necessary support for subsequent detection. Therefore, image enhancement based on frame accumulation and centroid registration is put forward in this paper. First of all, in this paper, the experimental equipment for collecting simulated breast images is briefly introduced, followed by the analysis of the collected image data. It has been found that the image presents insufficient feature information due to the scattering characteristic. According to this feature, it is suggested to use the centroid of the image to match the micro-motion images between the frame sequences, and then employ the frame accumulation technique to synthesize, and linearly stretch the frame-accumulated image to improve the imaging clarity. The results show that the information entropy value of the image has been increased from 4.5780 to 6.2734 with an increase of 1.6954. To further prove the effectiveness of the algorithm, comparisons with other algorithms from both subjective and objective perspectives are conducted in this paper to show the superiority of the algorithm.