Method for reconstructing flame CT (computed tomography) images with adaptive section sizes
A CT image, self-adaptive technology, applied in image data processing, 2D image generation, 3D modeling, etc., to reduce the effect of light bands, improve reconstruction speed, and simplify dimensions
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[0022] The embodiments of the present invention will be further described in detail below in conjunction with the accompanying drawings.
[0023] Such as Figure 4 As shown in the algorithm flow, the specific method of the flow is as follows:
[0024] (1) Extract the foreground image
[0025] For the captured flame projection image, firstly, preprocessing is carried out to eliminate the noise caused by environmental factors. Since the noise is usually random, Gaussian smoothing filter is used to remove the noise. For an RGB flame image, we usually reconstruct the red, green and blue channels of RGB respectively, and then synthesize the slices generated by the three channels. In order to facilitate the statement of the algorithm, we assume that the RGB image is converted to grayscale first, and the converted grayscale image is used for reconstruction. Taking advantage of the large difference between the flame foreground image and the background image, an adaptive global thre...
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