A fast correction method for industrial CT image quality of metal materials
A CT image and metal material technology, applied in the field of rapid image quality correction, can solve problems such as large amount of calculation, long correction time, and complicated calculation, and achieve the effect of improving image signal-to-noise ratio, improving market promotion value, and improving calculation efficiency.
Active Publication Date: 2019-05-31
CHINA WEAPON SCI ACADEMY NINGBO BRANCH
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However, the biggest disadvantage of this type of algorithm is that the calculation is complex and the amount of calculation is large, which limits the application of this algorithm in practice.
[0005] The above correction method has a good effect on ring artifact and noise suppression, but there are also some shortcomings
Although the image processing before reconstruction is superior in quality and fidelity, there are still limitations, the relevant parameters are not easy to determine, the calculation is too complicated, the correction time is relatively long, and most CT users are not easy to obtain CT images. Raw data
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[0047] The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.
[0048] Such as Figure 1-13 Shown, method of the present invention comprises the following steps:
[0049] 1. Read in a CT image with noise and ring artifacts, set its image size as N×N (unit: pixel), that is, N is the number of pixels in each row, for example, 4096×4096 pixels, that is, N=4096 , the gray value of any pixel on the image can be expressed as I(x, y), where (x, y) are the abscissa and ordinate of the point, 0≤x, y≤N. Such as figure 1 As shown in the figure, the center of the figure is a pore-like defect, and there are some ring artifacts around it.
[0050] 2. Create a polar coordinate image with a horizontal axis θ range (0,2π), with an interval of When N is set to 4096, the interval is 0.03. The smaller the interval, the less image information loss, but the longer the program operation time, the interval calculated by this...
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Provided is a metal material industrial CT image quality rapid correction method. The method is characterized in that the method includes following steps: 1) reading a CT image with noise and ring artifact; 2) mapping the CT image read in step 1) to a polar coordinate from a rectangular coordinate, and forming a polar coordinate image; 3) calculating a filtering parameter (Sr) according to the polar coordinate image; 4) performing ring artifact filtering processing on the CT image by employing the filtering parameter (Sr) obtained in step 3) to obtain a CT image which removes the ring artifact; and 5) performing de-noising processing on the CT image which removes the ring artifact to obtain the corrected CT image. The method is used for reconstructing the post-CT image, parameter correction and automatic calculation are realized, the calculating efficiency is high, image details are saved to the maximum, the method is applicable to post-processing of a lot of industrial CT system images in the market, the image signal to noise ratio is increased, especially high-energy linear array industrial CT, the correction effect is good, and the market promotion value is good.
Description
technical field [0001] The invention relates to a method for quickly correcting image quality. Background technique [0002] CT is computer tomography, and X-ray CT essentially reconstructs images by projection. The projection constitutes the input of the whole CT process, so the quality of the projection directly affects the quality of the reconstructed image. However, when the projection data is inherently insufficient, no matter what kind of superior reconstruction algorithm is used, it is impossible to obtain a perfect slice image, and what is obtained can only be a sick CT image. Morbid CT images contain artifacts and noise. Taking linear array detectors as an example, the CT image artifacts formed are mainly ring artifacts, and the image noise is mainly Gaussian noise. Ring artifacts are a typical artifact of CT images, and their causes can be attributed to detector calibration deviation, inconsistent response of array elements, scintillator defects, and even dust ad...
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IPC IPC(8): G06T11/00
CPCG06T11/008
Inventor 齐子诚倪培君徐向群郭智敏唐盛明左欣郑颖王晓艳李红伟乔日东张维国
Owner CHINA WEAPON SCI ACADEMY NINGBO BRANCH