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Method for de-noising wavelet in DR image processing

An image processing and wavelet coefficient technology, applied in image data processing, image enhancement, echo tomography, etc., can solve problems such as smoothing, enhancement, and denoising of unspecified medical images, so as to facilitate medical diagnosis and remove noise points , image pure effect

Inactive Publication Date: 2010-06-16
SHENZHEN ANGELL TECH
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Problems solved by technology

However, the wavelet kernel used in the above-mentioned No. 200610043189.8 patent application is specially used for image compression, and no methods for medical image smoothing, enhancement, and denoising are given.

Method used

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  • Method for de-noising wavelet in DR image processing
  • Method for de-noising wavelet in DR image processing
  • Method for de-noising wavelet in DR image processing

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Embodiment Construction

[0021] refer to figure 1 , the present invention realizes the embodiment of the method for wavelet denoising in DR image processing mainly comprises the following steps:

[0022] Step 101: read medical image data to be processed;

[0023] Step 102: performing two-dimensional wavelet transform on the medical image data to obtain several wavelet coefficients;

[0024] Step 103: performing threshold processing on the wavelet coefficients, including comparing each wavelet coefficient with a corresponding threshold, setting the coefficient to zero when the absolute value of the wavelet coefficient is less than the corresponding threshold, and setting the coefficient to zero when the absolute value of the wavelet coefficient is greater than or equal to the corresponding threshold When the coefficient is shrinked;

[0025] Step 104: performing inverse wavelet transform on the medical image data based on the processed wavelet coefficients to reconstruct the medical image;

[0026] ...

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Abstract

The invention discloses a method for de-noising a wavelet in DR image processing. The method comprises the following steps: reading medicinal image data to be processed; performing two-dimensional wavelet transformation on the medicinal image data to obtain a plurality of wavelet coefficients; performing threshold treatment on the wavelet coefficients, wherein the threshold treatment comprises comparing each wavelet coefficient with a corresponding threshold, setting the coefficient as zero when the absolute value of the wavelet coefficient is less than the corresponding threshold, and performing shrinkage processing on the coefficient when the absolute value of the wavelet coefficient is greater than or equal to the corresponding threshold; performing wavelet inverse transformation on the medicinal image data on the basis of the processed wavelet coefficients, and reconstructing a medicinal image; and storing or outputting the reconstructed medicinal image data. The method can effectively de-noise a digital medicinal image, and improve the diagnosis level of the medicinal image.

Description

technical field [0001] The invention relates to the field of medical equipment, in particular to a method for implementing wavelet denoising in DR image processing. Background technique [0002] X-ray photography is an important means of medical diagnosis. Digital X-ray images have significant advantages such as large dynamic range and good image linearity. In order to improve the level of medical image diagnosis, it is generally necessary to process digital X-ray images. The current processing methods and specific methods are as follows: [0003] Image sharpening: adjust the response through spatial frequency processing, improve the response of high-frequency components in the image and increase the contrast of details. This technology can be implemented by Fourier transform, or by selecting the image sharpening convolution kernel to perform convolution operation on the image. [0004] Image smoothing: It also adjusts the response through spatial frequency processing, red...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00A61B6/03
Inventor 陈永洒万洪晓杜静杜碧
Owner SHENZHEN ANGELL TECH
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