火焰温度场测量中的图像重建算法融合技术

Wendan Huang, Yao Huang, Wei Feng, Zhanwei Liu*

*此作品的通讯作者

科研成果: 期刊稿件文章同行评审

摘要

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.

投稿的翻译标题Fusion technique of image reconstruction algorithm in flame temperature field measurement
源语言繁体中文
页(从-至)721-730
页数10
期刊Guangxue Jishu/Optical Technique
48
6
出版状态已出版 - 11月 2022

关键词

  • Algorithm fusion
  • Image quality assessment
  • Image reconstruction algorithm
  • Multi-index optimization
  • Optical measurement
  • Three-dimensional temperature field

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