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Two-dimensional blur polymer based ultrasonic image division method

A technology of ultrasound image and fuzzy clustering, which is applied in image enhancement, image data processing, character and pattern recognition, etc., and can solve problems such as reducing contrast, obstacles to automatic segmentation of ultrasound images, and image signal-to-noise ratio reduction.

Inactive Publication Date: 2007-03-07
FUDAN UNIV
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Problems solved by technology

In addition to speckle noise, the brightness unevenness caused by signal fading in ultrasound images is also the main reason for the reduction of image signal-to-noise ratio
Inhomogeneous brightness causes brightness changes within the same tissue, and also reduces the contrast between different tissues, creating greater obstacles for the automatic segmentation of ultrasound images
Therefore, many methods for solving the problem of uneven brightness in medical images have also been proposed. [5，6] However, many methods are still proposed for nuclear magnetic resonance images. In order to realize the automatic segmentation of ultrasonic images, the influence of speckle noise and uneven brightness on the segmentation results must be suppressed at the same time.

Method used

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  • Two-dimensional blur polymer based ultrasonic image division method
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  • Two-dimensional blur polymer based ultrasonic image division method

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Embodiment Construction

[0058] The various components in the invention are further described through the implementation steps of the entire algorithm below

[0059] 1 Perform SRAD filtering on the original image

[0060] Before filtering, the EM algorithm needs to be used to fit the probability distribution of the image, and on this basis, the threshold for image target background segmentation is calculated to obtain the segmentation map, and then the area containing the most background in the image is found by adding a window, according to the formula (13) Calculate the initial diffusion threshold. Then get the neighborhood constraint data through SRAD X ~ = { x ~ i | i = 1,2 , · · · , n } .

[0061] 2 Estimate the initial parameters of 2DFCM using Gaussi...

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Abstract

This invention relates to one two-dimension fuzzy poly spot noise filter and brightness compensation B type of hypersonic cutting method, which comprises the following steps: extending the image brightness information to the update two-dimension poly fuzzy type near the pixel zone based on image brightness information; leading each heter diffusion spot noise filter to the fuzzy poly aim function to provide near information and to strengthening spot robust property; leading two-dimension fuzzy poly aim function with brightness compensation factor based on the noisy on uneven hypothesis and using image aim and background even to strengthen uneven noise robust.

Description

technical field [0001] The invention belongs to the technical field of ultrasonic image processing, and in particular relates to an ultrasonic image segmentation method using two-dimensional fuzzy clustering combined with a speckle noise filter and brightness compensation. technical background [0002] Image segmentation refers to the process of dividing an image into several regions according to a certain characteristic, such as brightness or texture. In the field of medical image analysis, image segmentation is a prerequisite and a key step for other applications such as tissue measurement, anatomical structure analysis, and tissue characterization. Although many methods for medical image segmentation have been proposed, most of them are proposed for MRI images or CT images with relatively high signal-to-noise ratio. Ultrasound diagnosis has become one of the indispensable clinical diagnostic methods because of its advantages of safety, convenience, painlessness and low c...

Claims

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Application Information

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IPC IPC(8): G06T5/00G06K9/34
Inventor 汪源源余锦华
Owner FUDAN UNIV
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