Retinal blood vessel classification method and device

A retinal blood vessel and classification method technology, applied in the field of retinal blood vessel classification method and device, can solve the problems of only classifying the main vessel, low accuracy rate, and inability to detect fine branches, etc., to improve accuracy, reliable data indicators, and reduce blood vessel ratio Effect

Inactive Publication Date: 2017-10-03
REDASEN TECH DALIAN CO LTD
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Problems solved by technology

[0005] The present invention provides a method and device for classifying retinal blood vessels. Through local binary model algorithm combined with independent component analysis, the structural characteristics of blood vessels are integrated, and the characteristics of arteriovenous vessels are reflected from multiple levels, which solves the problem of arteriovenous classificat

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  • Retinal blood vessel classification method and device
  • Retinal blood vessel classification method and device
  • Retinal blood vessel classification method and device

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[0024] The technical solutions of the present invention will be described in further detail below with reference to the accompanying drawings and embodiments.

[0025] In order to make the purpose, technical solutions and advantages of the present invention clearer, the technical solutions in the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the present invention Examples, not all examples. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0026] In order to facilitate the understanding of the embodiments of the present invention, further explanations will be given below with specific embodiments in conjunction with the accompanying drawings, which are not inte...

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Abstract

The invention relates to a retinal blood vessel classification method and a retinal blood vessel classification device. The retinal blood vessel classification method combines a local binary algorithm with an independent component analysis technique for integrated use in the aspect of fundus blood vessel feature extraction, since the local binary algorithm and the independent component analysis technique performs structural description of blood vessel features from different angles, the method inherites the advantages of each single technology, supplements the blood vessels to certain extent, and filters the influence of more noise; and the retinal blood vessel classification method finally improves the precision of fundus blood vessel arteriovenous classification, reduces the proportion of blood vessels without classification marks, and provides a solid data basis for the follow-up diagnosis of diseases related to fundus blood vessels.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a method and device for classifying retinal blood vessels. Background technique [0002] For a long time, cardiovascular and cerebrovascular diseases have been the main cause of death and disability of the elderly population in the world, among which hypertension, arteriosclerosis, and central retinal artery occlusion are the most common. The formation and pathogenesis of these diseases will show gradual morphological changes in the microvessels. Through the analysis of the microvascular morphological structure, not only can the degree of disease occurrence be judged and then diagnosed, but also the early symptoms can be predicted. Clinically is of great significance. Since the fundus retinal vascular network is the only small artery and small venous vascular network that can be directly observed in the human body, the characteristics of common diseases such as hyperten...

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Application Information

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IPC IPC(8): G06K9/46G06K9/62G06T7/11
CPCG06T7/11G06T2207/30041G06T2207/30101G06V10/449G06F18/24
Inventor 张松涛薛丹李德衡
Owner REDASEN TECH DALIAN CO LTD
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