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A blood vessel segmentation method for fundus images based on layered matting algorithm

A fundus image and image technology, applied in the field of medical image processing, can solve the problems of high time complexity and low segmentation accuracy, and achieve the effect of reducing misdiagnosis and improving efficiency

Active Publication Date: 2021-12-17
SHANTOU UNIV
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Problems solved by technology

The accuracy of the existing fundus image blood vessel segmentation algorithm is not high, and the time complexity is high, which cannot meet the actual requirements. Therefore, it is particularly important to invent an efficient fundus image blood vessel segmentation algorithm

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  • A blood vessel segmentation method for fundus images based on layered matting algorithm
  • A blood vessel segmentation method for fundus images based on layered matting algorithm
  • A blood vessel segmentation method for fundus images based on layered matting algorithm

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Embodiment Construction

[0031] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0032] In order to facilitate the understanding of the present invention, the present invention will be described more fully below with reference to the associated drawings. A preferred embodiment of the invention is shown in the drawings. However, the present invention can be embodied in many different forms and is not limited to the embodiments described herein. On the contrary, the purpose of providing the embodiments is to make the disclosure of the present invention more thorough and comprehensive.

[0033] see figure 1 , the present invention provides a method for segmenting fundus blood vessels based on a layered matting algorithm, the method comprising the following steps:

[0034] Step 1: Preprocess the fundus image using regional features to generate ...

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Abstract

The embodiment of the present invention discloses a method for segmenting blood vessels in a fundus image based on a layered matting algorithm. The method includes: preprocessing the fundus image to generate a tripartite image of the fundus image; segmenting the fundus image using a layered matting algorithm Blood vessels in unknown regions in the three-part image; post-processing the segmented blood vessel images; testing the post-processed images on two public databases, DRIVE and STARE, to obtain the result map of blood vessel segmentation in fundus images. The present invention uses a layered matting algorithm to process the fundus image, which can efficiently and accurately segment the blood vessels of the fundus image, thereby helping doctors improve the efficiency of diagnosing eye diseases, and helping to reduce possible errors caused by doctors. Misdiagnosis due to fatigue.

Description

technical field [0001] The invention belongs to the field of medical image processing, in particular to a fundus image blood vessel segmentation method based on a layered matting model. Background technique [0002] Fundus blood vessels generally show a centrifugal distribution from thick to thin, and have a network structure or a tree structure. The analysis of fundus blood vessels can provide important information about many common diseases, such as high blood pressure, diabetes, etc. Therefore, the analysis of the shape characteristics of fundus blood vessels is helpful for timely detection and treatment of eye diseases, and the segmentation of fundus blood vessels is the key to the analysis of fundus blood vessels. The first step is also the most critical step [0003] In recent years, the segmentation of fundus blood vessels has attracted more and more attention. Fundus blood vessel segmentation algorithms can be roughly divided into two categories: unsupervised algor...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/11G06T7/136G06T7/194
CPCG06T7/11G06T7/136G06T7/194G06T2207/10024G06T2207/20081G06T2207/20064G06T2207/30008G06T2207/30041G06T2207/30101
Inventor 范衠卢杰威朱贵杰
Owner SHANTOU UNIV
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