ART flame slice reconstruction algorithm based on radial gradient total variation
A radial gradient and slice reconstruction technology, which is applied in computing, image data processing, instruments, etc., can solve the problems of poor reconstruction effect and ineffective use of flame sparse characteristics
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[0035] In order to make the object, technical solution and advantages of the present invention clearer, the implementation manner of the present invention will be further described in detail below in conjunction with the accompanying drawings.
[0036] Both compressed sensing sparse reconstruction and algebraic iterative reconstruction methods have the characteristics of reconstructing the original complete image data from a small amount of projection data, and the combustion flame image of a gasoline engine presents a sparse structure of luminance aggregate blocks, which has a better sparse structure in the TV domain. Therefore, the total variation optimization can be introduced into the ART algorithm to reconstruct the slice image of the gasoline engine flame, so as to improve the reconstruction effect of the flame slice.
[0037] First, establish a radial gradient total variation model: set the center of the flame image as the origin, establish a polar coordinate system, and...
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