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A noise evaluation and X-ray technology, applied in image data processing, instruments, cutters, etc., can solve problems such as complex noise variance in digital images
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AI technical title is built by PatSnap AI team. It summarizes the technical point description of the patent document.
A noise evaluation and X-ray technology, applied in image data processing, instruments, cutters, etc., can solve problems such as complex noise variance in digital images
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Embodiment
[0059] In the steps of generating an estimated image and obtaining a noise image, the original image I(x, y) is filtered with a low-frequency linear binomial filter whose size is 3×3:
[0060] h 1 =[1 2 1] / 4, H = H 1 T · H 1
[0061] Thus, a smooth image I is obtained e (x,y)=I*H. Moreover, calculate the noise image N e (x,y)=I(x,y)-I e (x, y).
[0062] When using noise image N e (x, y) The step of removing the edge, forming two images of positive change and negative change:
[0063] N e - ( x , y ) = 1 , N e ( x ...
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PUM
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Abstract
Method of digital X-ray film noise assessment includes acquisition of an original image; low-frequency filtering of the original image to obtain an estimated image; a noise image development as a difference between the original and estimated images; by means of morphologic filtering elimination of noise image pixels corresponding to sharp changes in the original image; division of intensity range of the estimated image into intervals, herewith each pixel of the estimated image relates to an appropriate interval; accumulating for each interval some noise image pixels corresponding to estimated image pixels; calculating interval estimations of noise dispersion using accumulated in such an interval noise image pixels; improving interval estimations by the use of removal noise pixels according to 3[sigma] criteria, robust local linear approximation of interval estimations of noise dispersion, that results in tabular function describing the dependence of noise on signal intensity; calculation on the base of estimated image and obtained tabular function of the dependence of noise on signal intensity the noise map as a pixel-by-pixel noise dispersion estimation of the digital original image.
Description
technical field [0001] The present invention relates to digital image processing and can be used to solve problems associated with the processing of digital images obtained with high-energy radiation, including X-rays. In particular, the invention relates to noise evaluation of digital X-ray films. Background technique [0002] Currently, various image processing algorithms are used in digital radiography. Methods such as crispening or anatomical organization segmentation may use data on the noise level of the image. And, virtually every qualitative noise suppression method uses noise dispersion (variance) as a parameter. Therefore, it is important to consider the following question: how to determine the noise level of an image using only a digital raw image. This problem is complicated by the fact that the noise variance of a digital image depends significantly on the strength of the useful signal. [0003] Noise is generally the random deviation of a measured quantity ...
Claims
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