Level set retinal vessel image segmentation method with shape prior being fused

A retinal blood vessel and image segmentation technology, applied in image analysis, image enhancement, image data processing, etc., can solve problems such as oversensitivity, small blood vessels are easy to break, and blood vessels are too wide

Inactive Publication Date: 2016-11-09
JIANGXI UNIV OF SCI & TECH
View PDF2 Cites 26 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to address the shortcomings of the existing retinal vessel segmentation methods and provide a level-set retinal vessel image segmentation

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
  • Level set retinal vessel image segmentation method with shape prior being fused
  • Level set retinal vessel image segmentation method with shape prior being fused
  • Level set retinal vessel image segmentation method with shape prior being fused

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0062] The present invention will be further described below in combination with specific embodiments.

[0063] Explanation of the experiment: the data of the embodiment involved in the application of the present invention comes from the retinal image of the 12th normal person (12_h) in the HRF database.

[0064] This embodiment includes three steps: retinal vessel image preprocessing, vessel image rough segmentation and vessel image fine segmentation.

[0065] The specific description is as follows:

[0066] 1. Retinal blood vessel image preprocessing

[0067] (a) Select the green channel image I of the retinal image, and use the Geodesic active contours (GAC) model to automatically obtain the "mask" of the retina, such as figure 2 shown.

[0068] (b) Using the retinal "mask" information obtained in the previous step (a), the figure 1 Do edge expansion based on mirror symmetry, and the size of the edge expansion is equal to the size of the Gaussian template in the next s...

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 relates to a level-set retinal vessel image segmentation method with fusion shape prior, comprising: (1) utilizing morphological operators and Gaussian convolution to enhance the retinal vessel image; (2) adopting the anisotropy characteristic of Hessian matrix and improving The vascular response function of the retinal vascular image is roughly segmented and used as shape constraints and initialization information; (3) using the shape prior and retinal image data information to construct a model that includes local area energy fitting items, shape constraint items, and level set function regularity maintenance A level set model for retinal vessel segmentation with length penalty term, weighted area constraint term. The segmentation result of the present invention has high accuracy, can replace manual segmentation, can play an important auxiliary role in the diagnosis and treatment of clinically relevant ophthalmic diseases, and has strong clinical application value.

Description

technical field [0001] The invention relates to a retinal blood vessel image segmentation method based on a level set model, which solves the problems in the existing model that adjacent blood vessels are easily connected, blood vessels are too wide, small blood vessels are easy to break, and blood vessel intersections are insufficiently segmented. Background technique [0002] The retina is an extension of the brain's nervous tissue, with a complex multi-layered organizational structure, and its vascular lesions are one of the important causes of blindness. The level set method is a powerful tool to solve the problem of curve evolution, and its topological adaptability is strong. It can provide a fast and high-accuracy extraction method of retinal blood vessels, and provide help for clinical ophthalmologists in the diagnosis and treatment of diseases. In the field of ophthalmology, information such as the number, branch, angle, and width of retinal blood vessels can be use...

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
IPC IPC(8): G06T7/00G06T5/00
CPCG06T5/005G06T2207/20192G06T2207/30041
Inventor 梁礼明黄朝林陈新建曾璐周发助
Owner JIANGXI UNIV OF SCI & TECH
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
Try Eureka
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap