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Method for segmenting vasa sanguinea retinae image

A retinal blood vessel and image technology, applied in the field of retinal blood vessel image segmentation, can solve the problem of noise point sensitivity and achieve high accuracy

Active Publication Date: 2017-05-10
XIANGYA HOSPITAL CENT SOUTH UNIV
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  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

[0006] The disadvantages of the above classifier identification method are: this classification method is sensitive to noise points, and the misclassification of the segmentation results is serious

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  • Method for segmenting vasa sanguinea retinae image
  • Method for segmenting vasa sanguinea retinae image
  • Method for segmenting vasa sanguinea retinae image

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Embodiment Construction

[0046] 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 denote 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.

[0047] Those skilled in the art will understand that unless otherwise stated, the singular forms "a", "an", "said" and "the" used herein may also include plural forms. It should be further understood that the word "comprising" used in the description of the present invention refers to the presence of said features, integers, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, Integers, steps, operations, elements, components, and / or groups thereof. It will be understoo...

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Abstract

The embodiment of the invention provides a method for segmenting a vasa sanguinea retinae image. The method mainly comprises the steps of carrying out double-scale matched filtering processing on the vasa sanguinea retinae image to obtain a fine scale matched filtering response image and a coarse scale matched filtering response image; segmenting out vessel support regions from the fine scale matched filtering response image, carrying out binarization processing on each vessel support region by use of a local self-adaptive thresholding method and segmenting out fine blood vessel sections; segmenting the coarse scale matched filtering response image by use of a fixed proportioning thresholding algorithm to obtain large blood vessel sections. Segmentation results of the fine blood vessel sections and large blood vessel sections are fused to obtain a complete vasa sanguinea retinae segmentation result, and the accurate rate of the segmentation result is high.

Description

technical field [0001] The invention relates to the technical field of digital image processing, in particular to a method for segmenting retinal blood vessel images. Background technique [0002] Retinal blood vessels are the only blood vessels in the human body that can be directly observed non-invasively. Whether there are changes in its shape, diameter, scale, branch angle, and whether there is hyperplasia or exudation can reflect the lesions of systemic blood vessels. Diabetes, hypertension, cerebrovascular sclerosis and other diseases can lead to certain changes in retinal blood vessels, so the detection and analysis of retinal blood vessels has important guiding significance for the diagnosis and treatment of these diseases in clinical practice. However, the automatic segmentation of retinal vessels is very difficult due to the uneven gray distribution of retinal vessel images, the low contrast between the target vessel and the image background, and the pollution of i...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T7/11G06T7/136
CPCG06T7/0012G06T2207/10024G06T2207/20024G06T2207/30041
Inventor 江海波李清勇李峰郑敏
Owner XIANGYA HOSPITAL CENT SOUTH UNIV
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