X-ray image enhancement method based on dual-energy spectrum and wavelet fusion

Abstract

The invention relates to an X-ray image enhancement method based on dual-energy spectrum and wavelet fusion. The method includes the steps of obtaining material specific attenuation changes by changing energy spectrum distribution of an X-ray source in accordance with the principle that attenuation coefficient of a matter is related to energy; selecting the maximum of high frequency coefficient gradients and multiplying the maximum by a weighting factor (the weighting factor is greater than 1) according to the low-contrast feature of X-ray CT (computerized tomography) imaging as a fusion method for increasing high frequency coefficients and highlighting details; calculating the fractal dimension of low frequency coefficients to obtain the complexity, performing image fusion enhancement on dual-energy spectrum two images through objective and subjective weight fusion factors in the maximum entropy principle for overcoming the deficiency that weight selection has no theoretical basis and is too subjective, and making up for deficiencies of a single CT image. The X-ray image enhancement method based on dual-energy spectrum and wavelet fusion is significant.

Description

technical field [0001] The invention belongs to the technical field of CT and relates to processing of X-ray images, in particular to an X-ray image enhancement method based on dual-energy spectrum and wavelet fusion. Background technique [0002] Since Roentgen discovered X-rays in 1895, X-ray CT detection has made significant contributions to the development of human history. Since most of the detection objects of X-ray CT are complex phantoms or phantoms with uneven scales, and the imaging process is affected by various factors such as ray energy, scattering, and noise, the image quality will be reduced to varying degrees; especially When the scale difference in different directions in the scanned object is too large or the absorption strength of the substance is too large, the CT imaging quality is seriously degraded. Usually, only part of the image can be distinguished, and part of the image is hidden in the background and cannot be recognized, that is, The CT image ob...

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Problems solved by technology

Since most of the detection objects of X-ray CT are complex phantoms or phantoms with uneven scales, and the imaging process is affected by various factors such as ray energy, scattering, and noise, the image quality will be reduced to varying degrees; especially When the scale difference in different directions in the scanned object is too large or the absorption strength of the substance is too large, the CT im...

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