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Adaptive enhancement method based on mammographic image

An image enhancement and line image technology, applied in the field of medical image processing, can solve the problem of reducing the signal-to-noise ratio, achieve the effects of suppressing noise, increasing image contrast, and improving overall contrast

Inactive Publication Date: 2015-05-13
BEIJING UNIV OF TECH
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AI Technical Summary

Problems solved by technology

Although the above method has achieved a good enhancement effect to a certain extent, it also enhances the noise in the image while enhancing the image, which reduces the signal-to-noise ratio, so there are still certain limitations.

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  • Adaptive enhancement method based on mammographic image
  • Adaptive enhancement method based on mammographic image
  • Adaptive enhancement method based on mammographic image

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Embodiment Construction

[0037] The extraction process is described in detail with reference to the accompanying drawings and practical examples. The image data used came from mammography images in the MIAS database. The size of each mammogram image is 1024*1024 pixels.

[0038] The flow chart of the self-adaptive enhancement method based on mammogram of the present invention is as follows figure 1 shown, including the following steps:

[0039] Step 1, perform non-sampled contourlet wave 3-layer decomposition on the input breast image, so as to decompose the breast image into low-frequency coefficient sub-image X and high-frequency coefficient sub-image in different directions Where j represents the number of decomposed layers j=1,2,3. k represents different decomposition directions.

[0040] In step 2, the morphological method is used to process the low-frequency coefficient sub-image X obtained through contourlet transformation.

[0041] 2.1. Use the Top-hat transformation to process the ima...

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Abstract

The invention discloses an adaptive enhancement method based on a mammographic image. The method comprises the steps of solving the image by contourlet conversion to obtain high-frequency sub-images in different directions and a low-frequency sub-image; processing the low-frequency sub-image coefficients according to the morphology; enhancing the high-frequency sub-image coefficients in different directions according to the created adaptive enhancement functions; performing contourlet reconstruction for the processed high-frequency coefficient sub-images and the low-frequency coefficient sub-image to obtain the enhanced mammographic image. With the adoption of the method, the weak side edge and calcification points in the images can be enhanced while inhibiting image noise, and therefore, the image contrast ratio can be effectively improved; the enhancement effect is superior to that of the existing counter-peaked mask method and the adaptive histogram equalization method.

Description

technical field [0001] The invention relates to the field of medical image processing, in particular to an adaptive enhancement method based on mammograms. Background technique [0002] Breast cancer is one of the most common malignant tumors in women with high morbidity and mortality. According to the statistics of the World Health Organization, there are 1.2 million new cases of breast cancer every year in the world, and the death toll is 500,000. In addition, the incidence of breast cancer is still on the rise, which makes the prevention and treatment of breast cancer more and more people's attention. [0003] In recent years, with the development of modern medical imaging technology, more and more detection methods have been applied to the early detection of breast cancer. Mammography has become a reliable method for early detection of breast cancer due to its low price, simple operation, and high spatial resolution. However, doctors also face many difficulties when u...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00A61B6/00
Inventor 吴水才彭庆涛高宏建吴薇薇
Owner BEIJING UNIV OF TECH
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