Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Optic Disc Segmentation Algorithm Based on Edge Information and Luminance Information of Fundus Image

A fundus image and edge information technology, which is applied in the field of medical image processing, can solve the problems of reducing the efficiency of the optic disc segmentation method, consuming more time, and a large amount of calculation, and achieves fast positioning, improved efficiency, and high positioning accuracy.

Active Publication Date: 2019-02-19
TIANJIN UNIV
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The method of optic disc segmentation by introducing vascular network information improves the robustness of the segmentation, but due to the complexity of the blood vessel detection method at this stage, the amount of calculation will consume a lot of time, which seriously reduces the efficiency of the optic disc segmentation method.

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
  • Optic Disc Segmentation Algorithm Based on Edge Information and Luminance Information of Fundus Image
  • Optic Disc Segmentation Algorithm Based on Edge Information and Luminance Information of Fundus Image
  • Optic Disc Segmentation Algorithm Based on Edge Information and Luminance Information of Fundus Image

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0024] In order to make the purpose, technical solutions and advantages of the present invention clearer, the embodiments of the present invention will be further described in detail below in conjunction with the accompanying drawings:

[0025] (1): Preprocessing the fundus image

[0026] ①: First obtain the ROI of the fundus image. In this way, in the subsequent processing, the influence of pixels outside the ROI area can be effectively avoided, and the complexity of calculation can be reduced. Since the red component in the color fundus image is close to saturation and can best reflect the lighting conditions, the grayscale image I of the red channel component of the original image is selected r To process, take its maximum brightness value t max 5% of is used as a threshold for thresholding, and then a circular structuring element d with a radius of 3 3 The etching operation is performed to obtain the mask, and the result is as follows figure 2 (b), the formula is show...

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 optic disc segmentation method that integrates fundus image edge information and brightness information, which includes: preprocessing the fundus image; using the Isotropic Sobel operator to extract the vertical edge and horizontal edge images of the contrast-enhanced fundus image, and based on the edge difference Curve, locate the horizontal coordinates of the optic disc; extract the blood vessel density feature and the optic disc brightness feature; define the product of the blood vessel density feature and the optic disc brightness feature as the comprehensive feature value of the vertical coordinate, and obtain the comprehensive feature value curve about the vertical coordinate, with the maximum on the curve The coordinates corresponding to the value are the vertical coordinates of the optic disc; based on the positioning of the optic disc center coordinates, the CV level set model is used to segment the optic disc. The invention has the characteristics of high segmentation efficiency.

Description

technical field [0001] The invention belongs to the field of medical image processing, in particular to an optic disc segmentation method that integrates edge information and brightness information of fundus images. Background technique [0002] The automatic analysis of color retinal fundus images has been widely used in the auxiliary diagnosis of various ophthalmology-related systemic diseases such as diabetes, hypertension, kidney disease and neurological diseases. In a normal color fundus image, the macula, fovea, optic disc and vascular network are the four main features that can be observed in the fundus. The optic disc is in the shape of a light yellow or white disc, accounting for about 1% of the area of ​​interest in the entire fundus image. / 5 to 1 / 8, the blood vessels of the fundus diverge from the optic disc area and distribute in the whole fundus in a tree shape. The segmentation of the optic disc plays an extremely important role in the automatic analysis of f...

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 Patents(China)
IPC IPC(8): G06T7/12G06T7/13G06T5/30G06T5/00
CPCG06T5/30G06T2207/10024G06T2207/30041G06T2207/30101G06T5/90
Inventor 吕卫翟庆伟褚晶辉
Owner TIANJIN UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap 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