火焰温度场测量中的图像重建算法融合技术

The research of image reconstruction algorithm under sparse angle is a key problem in the application of Emission Spectral Tomography in field distribution measurement. Algebraic Reconstruction Technique algorithm, Simultaneous Iterative Reconstruction Technique algorithm and Simultaneous Algebraic Reconstruction Technique algorithm are widely used iterative image reconstruction algorithms. Taking candle flame as reconstruction objects, the image quality evaluation indexes such as Mean Square Error, Peak Signal Noise Ratio, structural similarity and image Average Gradient are used to analyze and evaluate the image reconstruction effects of different algorithms, and a multi index optimization algorithm fusion technology is developed to make full use of the restoration and reconstruction advantages of the three algorithms to realize the partition reconstruction of flame three-dimensional temperature field, and the reconstruction temperature error is within 5%. The experimental results show that the developed algorithm fusion technology is suitable for the high-quality reconstruction of flame three-dimensional temperature field.