Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Macular area positioning system based on retina structure

A retinal structure and positioning system technology, applied in neural architecture, biological neural network model, image data processing, etc., can solve problems affecting macular positioning, training neural network to provide data labels, etc., to save time and meet positioning needs Effect

Pending Publication Date: 2021-03-30
中科泰明(南京)科技有限公司
View PDF0 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] Aiming at the deficiencies of the prior art, the present invention provides a macular area positioning system based on the retinal structure, which solves the problem that the existing methods are difficult to provide accurate data labels for training the neural network and affect the positioning of the macula

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Macular area positioning system based on retina structure
  • Macular area positioning system based on retina structure
  • Macular area positioning system based on retina structure

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0050] Such as figure 1 As shown, the present invention provides a macular region positioning system based on a retinal structure, which includes:

[0051] A visual vascular segmentation module is used to divide a binarized view image and a vascular image using a retinal fundus image;

[0052] The region determination module of the macular region is used to determine the region of interest in the macular region based on the visual disc image;

[0053]The main blood tube bow determination module is used to perform communication domain detection and vascular average width calculation within the region of interest in the macular region; the number of pixels based on the communication domain determines the first choice of main blood vessel bows, and through the communication domain Linear combination of pixels and vascular average widths to obtain candidate main blood vessels;

[0054] Macular area position calculation module for positioning macular regions based on two main blood tu...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention provides a macular area positioning system based on a retina structure, and relates to the technical field of macular positioning. Based on retinal blood vessels and an optic disc in a fundus image, parameters of the optic disc and parameters of the blood vessels are calculated; and a main vascular arch structure of a retina result is determined based on the parameters of the blood vessel and the optic disc, and a macular area position is obtained according to the structure. According to the system, automatic macular area positioning based on the retina structure is achieved, thetime loss of each image needing to be manually labeled is saved, automatic macular area positioning based on the retina structure is achieved, the time loss of each image needing to be manually labeled is saved, and tests show that the system is accurate, reliable, robust and high in practicability and meets the retina macular region positioning requirements of human doctors.

Description

Technical field [0001] The present invention relates to the field of macular positioning techniques, and more particularly to a macular region positioning system based on a retinal structure. Background technique [0002] The macular area is one of the most sensitive and dangerous regions in the retina. The injury in the macular area often affects the vision, and the positioning of the macular area is especially important in retinal images. [0003] The existing method of the existing fundamental macular area requires the use of artificial graphics to manually label some feature points, and the macular may be fitted on the basis of feature points. [0004] However, there is no clear boundaries of the fundamental macula so that the doctor is difficult to provide accurate data tags for training neural networks, affecting the positioning of macular spots. Inventive content [0005] (1) Solving technical problems [0006] In response to the deficiencies of the prior art, the present...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06K9/32G06K9/34G06K9/62G06N3/04
CPCG06T7/0012G06T2207/30041G06V10/267G06V10/25G06N3/045G06F18/214
Inventor 刘磊
Owner 中科泰明(南京)科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com