Dimensional space decomposition and reconstruction based balanced X-ray image display processing method

Abstract

The invention discloses an X-ray image uneven display processing method based on distribution and reconstitution of measure spacing, which comprises the following steps: doing normalizing and logarithmic transformation to the inputted image, choosing linear or nonlinear wave filter method to do image measure spacing distribution, weighting the image information on different measures and reconstituting the weighted signals, doing normalizing and antilogarithm processing to the constructed signals to obtain the uneven image. It can adopt blank field smooth filter wave operator during the decomposable process.

Description

technical field [0001] The invention belongs to the field of image processing, and relates to the processing of X-ray images, in particular to the improvement of the display quality of X-ray images, and in particular to a balanced display processing method based on scale space decomposition and reconstruction of X-ray images. Background technique [0002] X-ray imaging is a well-established technology widely used in medical diagnosis and industry. Since the 1980s, digital X-ray imaging technologies CR and DR have gradually replaced traditional film imaging technologies. Although the spatial resolution of both technologies is close to that of film, they have a wide contrast range and a dynamic range of up to 16 bits. For tissue differences with similar densities, there is a high degree of discrimination, so all diagnostic-related information can be captured. However, due to the characteristics of the X-ray imaging system itself, on the one hand, ...

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Problems solved by technology

However, the fixed three-stage filter used in this method is too rough for signal separation. It is mentioned in the document "Equalized Contrast Display Processing for Digital Radiography" (Medical Imaging 2002: proceeding of SPIE Vol.4681) that for most medical images , 6 to 7 levels of decomposition can effectively separate the characteristics of physiological and anatomical structures and subtle diagnostic information, so as to obtain better processing results

[0006] 2. The method based on the unsharp mask described in the foreign patent application (Patent No.: US5978518), which uses the traditional linear unsharp mask image enhancement method, referring to Sezan et al, "Automatic AnatomicallySelective Image Enhancement in Digital Chest Radiography" (IEEE Transactions on Medical Imaging, vol.8, No.2, Jun, 1989) described in the literature, according to the characteristics of physiological anatomy, selectively enhances the different physiological regions where the pixels are located, and combines Snyder's The noise estimation method proposed makes the sharpening without amplifying the noise as much as possible, and shows that the method can be extended to the multi-level decomposition framework, but the invention does not give the enhancement coefficient of each level in the case of multi-level decomposition The relationship between the filters and the relationship between the filters at all levels, so that it only stays on the basis of enhancing the high-frequency details of the image, and lacks the overall consideration of the information of each scale of the image

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