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Method and device for automatically removing background of multi-oblique mammary X-ray image and medium

A line image and mammary gland technology, which is applied in the image processing field of automatic label and background removal in mammography images, to achieve the effect of reducing the amount of storage and information storage, and improving the efficiency of image transmission and image processing

Active Publication Date: 2021-06-01
CHANGSHU INSTITUTE OF TECHNOLOGY
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The problem to be solved by the present invention is to provide an automatic background removal method for multi-oblique mammary gland line images, so as to solve the problem of automatic background removal of image labels and backgrounds without diagnostic information under the condition that the information of mammary gland regions photographed in different body positions is completely preserved.

Method used

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  • Method and device for automatically removing background of multi-oblique mammary X-ray image and medium
  • Method and device for automatically removing background of multi-oblique mammary X-ray image and medium
  • Method and device for automatically removing background of multi-oblique mammary X-ray image and medium

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Embodiment 1

[0024] Introduce detailed technical scheme of the present invention below in conjunction with accompanying drawing: as figure 1 As shown, an image processing method that preserves all the information of the breast region and automatically removes the background of multi-oblique mammogram images mainly includes the following steps:

[0025] Step 1 Obtain multi-oblique mammography images with a pixel depth of 16 bits in the DDSM database, which are RCC, LCC, RMLO, and LMLO respectively. The storage sizes of the images are 18.9MB, 18.7MB, 20.1MB, and 17.8MB, respectively. Such as figure 2 As shown, it is recorded as image F=(f(x, y)), where x and y are the spatial coordinates of the pixel in the image respectively, and f(x, y) is the spatial coordinate of the pixel at (x, y) grayscale value;

[0026] Step 2 Calculate the histogram of the multi-oblique mammogram F, such as image 3 As shown, according to the histogram, set the threshold T∈[3500,5000], use the threshold segment...

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Abstract

The invention discloses a Method and device for automatically removing a background of a multi-oblique mammary X-ray imageand a medium, and the method comprises the steps: obtaining an initial background and an initial foreground, obtaining complete foreground region information, removing noise, obtaining a connected domain, reserving a maximum connected domain, reducing the dimension of a storage space, and removing the image background; and carrying out image cross multiplication operation on the image and an original image so as to achieve automatic removal of a multi-oblique X-ray image background under the condition of keeping complete information of a mammary gland area. According to the method and device, the gray resolution of a non-diagnostic information background in the mammary gland X-ray image is reduced, and the image transmission efficiency and the image processing efficiency are improved; automatic segmentation of mammary gland areas with position, shape and size differences in a multi-oblique mammary gland X-ray image can be achieved.

Description

technical field [0001] The patent of the present invention relates to the field of X-ray image processing, in particular to an image processing method for automatically removing labels and backgrounds in multi-oblique mammography images. Background technique [0002] Mammography detection technology has the characteristics of high precision, low cost and high reliability, so it is widely used in breast cancer screening and clinical diagnosis of related breast lesions. With the continuous development of artificial intelligence and deep learning related technologies in the field of image detection, it will become a research in the field of medical image processing to apply deep learning to the auxiliary screening and diagnosis of malignant tumors in mammography images based on massive medical imaging data. hotspot. The intelligent interpretation of mammography images can not only reduce the daily work pressure of radiologists, reduce unnecessary invasive detection, but also g...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/11G06T7/136G06T7/187G06T7/194G06T7/62G06T5/00G06T5/30
CPCG06T7/11G06T7/136G06T7/194G06T7/187G06T7/62G06T5/30G06T2207/10116G06T2207/30068G06T5/70
Inventor 丁卫王庆国王伟
Owner CHANGSHU INSTITUTE OF TECHNOLOGY
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