Hand vein infrared image enhancement and segmentation method based on AGC and Frangi

A technology of infrared images and vein images, which is applied in the field of image processing, can solve the problems of large differences in vein image processing effects and large noise, and achieve the effects of improving processing effects, reducing breakpoints, and reducing noise

Pending Publication Date: 2022-08-05
WUHAN UNIV OF TECH
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Problems solved by technology

[0006] The present invention provides a hand vein infrared image segmentation method based on AGC and Frangi, which is used to solve or at least partly solve the pr

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  • Hand vein infrared image enhancement and segmentation method based on AGC and Frangi
  • Hand vein infrared image enhancement and segmentation method based on AGC and Frangi
  • Hand vein infrared image enhancement and segmentation method based on AGC and Frangi

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Embodiment Construction

[0035] The purpose of the present invention is to provide a segmentation method of hand vein infrared image based on AGC and Frangi, which is used to improve the existing technology of vein image processing effect of different parts is quite different, and accompanied by large noise technical issues.

[0036] The main idea and innovation of the present invention are as follows:

[0037] The innovative combination of AGC algorithm and Frangi algorithm can effectively reduce the breakpoints generated after Frangi processing. After the Frangi algorithm is processed, there are many breakpoints in the image. Therefore, before the Frangi algorithm is processed, the image needs to be preprocessed. In addition to the guided filtering and multi-scale Gaussian filtering used in the present invention, the AGC algorithm is supplemented, which can be more obvious. The reduction of breakpoints generated after Frangi processing.

[0038] In order to make the purposes, technical solutions a...

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Abstract

The invention relates to the medical technical field of hand vein image enhancement and segmentation, and discloses a hand vein infrared image enhancement and segmentation method based on AGC and Frangi, and the method comprises the steps: firstly collecting a hand vein image under the irradiation of infrared light, then carrying out the guided filtering of an initial image, and carrying out the sharpening of the edge of the image, the method comprises the following steps: firstly, carrying out image processing on a blood vessel, then stretching the contrast of an image through AGC, then carrying out multi-scale Gaussian filtering noise reduction processing on the processed image, then carrying out blood vessel recognition on the processed image by applying a Frangi algorithm, extracting a tubular blood vessel contour, and finally, carrying out local binarization segmentation and open operation noise reduction on the image in sequence. And a segmented blood vessel shape with an obvious visual effect is obtained. According to the method, the AGC algorithm and the Frangi algorithm are innovatively combined, breakpoints generated after Frangi processing can be effectively reduced through combination of the AGC algorithm and the Frangi algorithm, and therefore the overall image enhancement and segmentation effect is improved.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a method for enhancing and segmenting infrared images of hand veins based on AGC and Frangi. Background technique [0002] Vein infrared image processing technology has a wide range of applications in the medical field. It can be used to observe the vein images of patients, help medical staff to better perform venipuncture, and improve the efficiency of puncture. [0003] In the prior art, vein infrared image enhancement methods mainly include the following: a method for enhancing image contrast, a method for enhancing image texture features, and an enhancement method based on image fusion. The methods of enhancing image contrast are mainly various improved histogram equalization methods; the methods of enhancing image texture features are mainly based on a series of filtering techniques; the enhancement methods based on image fusion are mainly to fuse multiple images pr...

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Application Information

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IPC IPC(8): G06V40/14G06V40/12G06V10/30G06V10/25
CPCG06V40/14G06V40/1347G06V10/30G06V10/25
Inventor 旷海兰刘冉冉陈森森鄢圣玥刘新华罗嘉譞
Owner WUHAN UNIV OF TECH
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