Ultrasonic image mixed noise self-adaptive suppression method

An ultrasound image and mixed noise technology, applied in the field of image processing, can solve the problem that it is difficult to guarantee the suppression of noise details

Active Publication Date: 2014-10-15
BEIJING HUACO HEALTHCARE TECH CO LTD +1
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Problems solved by technology

[0005] However, when the prior art adopts the above method to suppress the speckle noise in the ultrasound image, it is difficult to ensure that the detailed information in the image will not be destroyed while effectively suppressing the noise.

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Embodiment Construction

[0033] The specific embodiment of the present invention is as figure 2 Shown:

[0034] 101. Read the ultrasound image to obtain image data;

[0035] There are additive noise and multiplicative noise in the acquired image. Let the original image without noise pollution be g(x, y), and the noise n(x, y) can be regarded as the interference to the gray level of each pixel. The noise The disturbed image f(x,y) can be expressed as:

[0036] f(x,y)=g(x,y) n1(x,y) + n2(x,y)

[0037] Among them, n1(x,y) is multiplicative noise, and n2(x,y) is additive noise.

[0038] 102. Carry out K-nearest neighbor weighted mean filtering processing on the image;

[0039] K-nearest neighbor weighted mean filtering is to process each pixel in the image by using a weighted smoothing template, select K points within the coverage area of ​​the template area that have the closest difference from the gray value of the central element for weighted average, and replace the center with the averaged resul...

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Abstract

The invention provides an ultrasonic image mixed noise self-adaptive suppression method. According to the method, additive noise and multiplicative noise in an image are removed respectively; logarithmic transformation is carried out on the image after being subjected to the additive noise removing to enable the multiplicative noise to be converted into the additive noise; then, weighted average difference values of pixel points and neighbourhood points in the image as well as the variance of the difference values are calculated; noise judgment is carried out based on the difference values and the variance and the image is divided into a smooth area and a detail area; and after the different areas are respectively subjected to space-domain filtering and transform-domain filtering, the processed areas are added to obtain a de-noised image. Therefore, the advantages of the two filtering processing can be fully utilized to realize the self-adaptive processing that for different pixel points, different filtering methods are used. The method is simple and convenient; neighbourhood domain section is reasonable; de-noising effect is more obvious than that of single domain processing; and the method is high in practicality.

Description

technical field [0001] The present invention relates to image processing technology, in particular to image data processing technology in ultrasonic imaging, especially an ultrasonic denoising method. Background technique [0002] The noise in ultrasound images can be divided into additive noise and multiplicative noise. Additive noise is generally Gaussian noise, and multiplicative noise is speckle noise. In ultrasound imaging, when the size of human tissue structures is close to or smaller than the wavelength of the incident ultrasound, the ultrasound beam will scatter. Scattered echoes with different phases interfere with each other to generate speckle noise. It degrades the quality of ultrasound images, making it difficult to distinguish normal tissue from neoplastic lesions in low-contrast soft tissues. Existing noise suppression methods for ultrasound images are mainly divided into two categories: spatial domain filtering and transform domain filtering. [0003] Th...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00
Inventor 周智峰白宝平邹慧玲何刚
Owner BEIJING HUACO HEALTHCARE TECH CO LTD
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