An Adaptive Median Filtering Method for CT Image Denoising
A CT image, self-adaptive technology, applied in the field of image signal processing and medical image processing, can solve the problems of limited image denoising ability, reduced noise point interference ability, missed diagnosis of early new crown patients, etc., to protect image details and reduce misjudgment , the effect of the optimal denoising effect
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[0062] The present invention will be described in detail in the following drawings and examples, but the specific embodiment of the present invention is not limited to this.
[0063] The embodiment illustrates the denoising process of the invention applied to the impulse noise of chest CT images in COVID-19. The embodiment of the present invention will be described in detail below with reference to the drawings.
[0064] Figure 1 The overall flow chart of this algorithm is a CT image denoising method with adaptive median filtering, which specifically includes:
[0065] The median filter selects a square filter window with a size of 5×5, and according to the discrimination conditions and To judge the suspected noise point of impulse noise. The first threshold t 0 The calculation principle is formula (1), which is the adaptive maximum value and minimum value of gray scale. and The calculation principle is based on formulas (2) ~ (12), n = 5. Traverse all the pixels in the windo...
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