An art flame slice reconstruction method based on radial gradient total variation
A radial gradient and slice reconstruction technology, which is applied in image enhancement, instrumentation, computing, etc., can solve the problems of ineffective use of flame sparseness and poor reconstruction effect, so as to improve the quality and speed of slice reconstruction , the effect of strong algorithm robustness
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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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