Image reconstruction method based on multi-viewing-angle multi-spectral tomography

Abstract

The invention provides an image reconstruction method based on multi-viewing-angle multi-spectral tomography. The image reconstruction method comprises the steps of: utilizing a plurality of pieces of absorption spectrum information corresponding to gas molecules so that laser which can cover an absorption spectrum range passes through a measured gas region from a plurality of viewing angles, and acquiring corresponding projection measurement data; constructing an equation set for solving measured gas parameter values according to a coefficient matrix and projection measurement data; converting a problem of solving a non-homogeneous linear equation set into a problem of solving nonlinear optimization; and solving the nonlinear optimization problem by adopting an iteration method to obtain parameter distribution, and further acquiring a gas parameter distribution image. Compared with a single-spectrum imaging system, the image reconstruction method has the effects of being capable of significantly improving the precision of parameter distribution image reconstruction, being high in resolution and good in reliability, and having wide application prospect.

Description

Technical field [0001] The invention relates to an image reconstruction method based on multi-view and multi-spectral tomography, in particular to an image reconstruction method with high-precision and high-resolution multi-view and multi-spectral projection when measured parameters are non-uniformly distributed. Background technique [0002] Absorption spectroscopy measurement technology has become a research focus of much attention due to its high-speed, non-invasive and accurate measurement characteristics. Due to the highly dynamic nature of the combustion environment, conventional methods are difficult to monitor. Using laser absorption spectroscopy (LAS), combustion parameters such as temperature can be measured. In addition, the distribution of combustion parameters can be obtained by inversion of laser absorption spectroscopy tomography. For example, the patent "Panel division and tomography for high spatial resolution temperature and substance concentration measurement...

AI Technical Summary

Problems solved by technology

However, to obtain high-resolution images of parametric distributions, a large number of efficient equations must be constructed

Since there may be correlations between the equations constructed by different absorption lines, although simply increasing the number of absorption lines can increase the measured value, it may not necessarily increase the effective equations, which will affect the imaging accuracy to a certain extent.

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