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Working method of denoising medical image data by Gaussian filtering

A Gaussian filtering, medical imaging technology, applied in the field of image recognition, can solve the problems of clutter, disorder, low efficiency, etc.

Active Publication Date: 2021-11-16
北京和信康科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0002] Due to the need to collect a large number of medical images for comparison and analysis in the process of medical testing, the efficiency of traditional image recognition methods is low. With the introduction of neural network learning, targeted extraction of massive data has become the focus of image screening and analysis. It is an inevitable trend, but the image data in the existing technology is multivariate, messy, and disordered, which requires a more specific model for classification and extraction, more accurate screening of image contour information, and accurate classification , which urgently requires those skilled in the art to solve the corresponding technical problems

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  • Working method of denoising medical image data by Gaussian filtering
  • Working method of denoising medical image data by Gaussian filtering
  • Working method of denoising medical image data by Gaussian filtering

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Embodiment Construction

[0030] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary only for explaining the present invention and should not be construed as limiting the present invention.

[0031] Such as figure 1 As shown, the present invention discloses a working method for noise reduction of medical image data through Gaussian filtering, comprising the following steps:

[0032] S1, obtaining medical image data, preprocessing the medical image, converting it into a Lab color space image; performing noise reduction through Gaussian filtering;

[0033] S2, training and learning the abnormal features in the medical image through the convolutional neural network, and forming a medical image abnormal feature candidate feature...

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Abstract

The present invention proposes a working method for noise reduction of medical image data through Gaussian filtering, comprising: S1, obtaining medical image data, preprocessing the medical image, and converting it into a Lab color space image; S2, passing the converted image through Gaussian filtering for noise reduction.

Description

technical field [0001] The invention relates to the field of image recognition, in particular to a working method for noise reduction of medical image data through Gaussian filtering. Background technique [0002] Due to the need to collect a large number of medical images for comparison and analysis in the process of medical testing, the efficiency of traditional image recognition methods is low. With the introduction of neural network learning, targeted extraction of massive data has become the focus of image screening and analysis. Inevitable trend, but the image data in the prior art is multivariate, messy, and disordered, which requires a more specific model for classification and extraction, more accurate screening of image contour information, and accurate classification , which requires urgently those skilled in the art to solve the corresponding technical problems. Contents of the invention [0003] The present invention aims to at least solve the technical probl...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00
CPCG06T2207/10024G06T5/92G06T5/70
Inventor 苗勇杨晓凡
Owner 北京和信康科技有限公司