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A multi-scale X-ray image enhancement method based on characteristics of a human visual system

A human visual system, line image technology, applied in the field of image processing, can solve the problems of poor detail enhancement effect of micro-calcified particles, inability to effectively enhance X-ray image details, etc.

Inactive Publication Date: 2016-11-09
NANJING UNIV OF POSTS & TELECOMM
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Problems solved by technology

[0005] The technical problem to be solved by the present invention is to overcome the deficiencies of the prior art and provide a multi-scale X-ray image enhancement method based on the characteristics of the human visual system to solve the problem that the traditional image enhancement method cannot effectively enhance the details in the X-ray image. Especially for the problem of poor detail enhancement of microcalcified particles

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  • A multi-scale X-ray image enhancement method based on characteristics of a human visual system
  • A multi-scale X-ray image enhancement method based on characteristics of a human visual system
  • A multi-scale X-ray image enhancement method based on characteristics of a human visual system

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Embodiment Construction

[0048] Embodiments of the present invention will be described below in conjunction with the accompanying drawings.

[0049] like figure 1 As shown, the present invention designs a multi-scale X-ray image enhancement method based on the characteristics of the human visual system, which is applicable to medical image enhancement methods, and specifically includes the following steps:

[0050] Step (1) Acquire digital X-ray medical images.

[0051] The digital X-ray image A is collected by the equipment, and the pixel value of A is normalized to obtain

[0052] Step (2) carries out the simulation of gamma correction, color space conversion and hard copy to image, specifically as follows:

[0053] First, for the image Perform gamma correction to get the image Right now:

[0054] v = V / 12.92 v ...

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Abstract

The invention discloses a multi-scale X-ray image enhancement method based on the characteristics of the human visual system. , and perform hard copy simulation; grayscale processing, channel decomposition to obtain cone images and rod images; use Laplacian pyramid algorithm to perform multi-scale decomposition of images; perform brightness and contrast adaptation; Threshold processing; images are merged respectively, and inverse sensing and inverse gain processing are performed on the merged images to realize the image reconstruction of the Laplacian pyramid, and the reconstructed image is obtained; the reconstructed image is normalized, and the normalized image is obtained. Perform color space conversion and gamma correction to obtain the corrected RGB color space image and output. The invention can effectively enhance the contrast and details of the X-ray image, and can better reduce the influence of noise on the X-ray image.

Description

technical field [0001] The invention relates to a multi-scale X-ray image enhancement method based on the characteristics of the human visual system, belonging to the technical field of image processing. Background technique [0002] Breast cancer is the most common malignant tumor in women. According to the statistics of the World Health Organization, more than 500,000 women die of breast cancer every year in the world, and more than 1.2 million women are diagnosed with breast cancer, and the incidence rate continues to rise, and the increasing population is mainly from developing countries. Early detection is the most important means of reducing breast cancer mortality. The methods for clinical screening and diagnosis of breast cancer mainly include physical examination, measurement of serum estrogen / progesterone receptor levels, and imaging diagnosis, among which imaging diagnosis occupies a very important position in the examination of breast cancer. Diagnosing breast ...

Claims

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Application Information

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IPC IPC(8): G06T5/00G06T5/50
CPCG06T5/00G06T5/50G06T2207/10116G06T2207/30068
Inventor 王天云卢官明
Owner NANJING UNIV OF POSTS & TELECOMM
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