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Medical image enhancing method based on shear wave deformation and fuzzy contrast combination

A technology of fuzzy contrast and medical images, applied in the field of image processing, can solve the problems of sparse representation of direction numbers and amplified noise, etc., achieve the effect of improving clarity and global contrast, good visual effect, and solving pseudo-Gibbs phenomenon

Inactive Publication Date: 2018-06-29
XINJIANG UNIVERSITY
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Problems solved by technology

Among them, histogram equalization and multi-scale Retinex are enhancement algorithms that directly process the overall pixel value of the image based on the spatial domain. They have the characteristics of improving the overall brightness of the image, but they will amplify the noise while enhancing the image.
Wavelet transform, curvelet transform, contourlet transform, and NSCT transform are image enhancement algorithms based on the transform domain, and all have good time-frequency characteristics, but they cannot represent more directions and optimal sparse representation

Method used

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  • Medical image enhancing method based on shear wave deformation and fuzzy contrast combination
  • Medical image enhancing method based on shear wave deformation and fuzzy contrast combination
  • Medical image enhancing method based on shear wave deformation and fuzzy contrast combination

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Embodiment Construction

[0028] The preferred embodiments of the present invention will be described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described here are only used to illustrate and explain the present invention, and are not intended to limit the present invention.

[0029] Such as figure 1 As shown, a medical image enhancement method based on the combination of shearlet transform and fuzzy contrast, including:

[0030] Step S1, using shearlet transform to decompose the medical image into a low-frequency component and several high-frequency components;

[0031] Step S2, performing linear transformation on the decomposed low-frequency components to improve the overall contrast, and denoising and enhancing the decomposed high-frequency components;

[0032] Step S3, performing inverse shearlet transform on the linearly transformed low-frequency component and several high-frequency components processed by the threshold method in st...

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Abstract

The invention discloses a medical image enhancing method based on shear wave deformation and fuzzy contrast combination. The method includes the steps: S1 decomposing a medical image into a low frequency component and a plurality of high frequency components by shear wave deformation; S2 linearly transforming the decomposed low frequency component and denoising and enhancing the decomposed high frequency components; S3 performing shear wave inverse transformation on the linearly transformed low frequency component and the high frequency components processed by a threshold value method in the step S2 to obtain a reconstructed image; S4 enhancing fuzzy contrast of the reconstructed image obtained in the step S3 to improve global contrast of the image. The method has the advantage that the definition and the global contrast of the medical image are improved.

Description

technical field [0001] The present invention relates to the field of image processing, in particular to a medical image enhancement method and device based on the combination of shearlet transform and fuzzy contrast. Background technique [0002] At present, medical images will be affected by various interferences during the process of acquisition and transmission, which will lead to a decrease in image clarity and loss of details, and ultimately directly affect doctors' judgment of the disease and treatment effects. For this reason, medical images must be enhanced. [0003] Image enhancement is a key link in digital image processing and has extremely strong application value. Currently, image enhancement algorithms mainly include histogram equalization, multi-scale Retinex, wavelet transform, curvelet transform, contourlet transform, NSCT transform, shearlet transform, etc. Among them, histogram equalization and multi-scale Retinex are enhancement algorithms that directly...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00
CPCG06T5/70
Inventor 郭庆荣贾振红
Owner XINJIANG UNIVERSITY
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