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

Fundus image vascular segmentation method based on phase congruency

A fundus image and consistency technology, applied in the field of image processing, can solve the problems of inability to correctly segment blood vessels, image brightness and contrast insensitivity, etc., and achieve the effect of improving the correct segmentation rate of blood vessels, good edge information, and filtering noise

Active Publication Date: 2015-06-10
TIANJIN POLYTECHNIC UNIV
View PDF2 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to overcome the above-mentioned deficiencies in the prior art, and propose a method for segmenting blood vessels in fundus images based on phase information. The disadvantages of blood vessels, and at the same time, most of the small blood vessels at the end can be segmented out

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
  • Fundus image vascular segmentation method based on phase congruency
  • Fundus image vascular segmentation method based on phase congruency
  • Fundus image vascular segmentation method based on phase congruency

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0033] The flow chart of the present invention is as figure 1 As shown, the green channel of the fundus image is first extracted, and the contrast of the image is enhanced by contrast-limited adaptive histogram equalization (CLAHE); the anisotropic coupled diffusion equation is used to filter to improve the definition of blood vessels; based on phase consistency The algorithm performs blood vessel segmentation on fundus images with or without anisotropic coupling diffusion equation filtering; then two blood vessel images extracted based on phase consistency are multiplied at the pixel level; finally, the multiplied image is binarized and then mathematically Morphological operations optimize the image. The specific implementation process of the technical solution of the present invention will be described below in conjunction with the accompanying drawings.

[0034] 1. Extract the green channel of the fundus image;

[0035] Enter as figure 2 The color fundus image shown in ...

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 discloses a fundus image blood vessel segmentation method based on phase congruency and mainly overcomes the defect that a traditional method can not be used to accurately segment blood vessels in fundus images. The fundus image vascular segmentation method base on the phase congruency can be simultaneously used to segment small blood vessels of most tips. The method comprises the steps: (1) extracting green channels of the fundus images, (2) enhancing the contrast ratio of the images through contrast limited adaptive histogram equalization (CLAHE), (3) filtering the fundus images through the anisotropic coupled diffusion equation, (4) segmenting the blood vessels of the fundus images filtered or not filtered through the anisotropic coupled diffusion equation in a phase congruency algorithm, (5) multiplying pixel-levels of results of vessels, of two fundus images, segmented based on the phase congruency algorithm, (6) processing the images in a binaryzation mode through the iterative threshold segmentation method, (7) optimizing the images in the mathematical morphology method. The fundus image vascular segmentation method has significant application values in fields of three-dimensional splicing of the fundus images and judging existence of diabetes mellitus and severity of diabetes mellitus.

Description

technical field [0001] The invention belongs to the technical field of image processing, and relates to a method for segmenting blood vessels of fundus images based on phase consistency, which can be used for segmenting blood vessels of fundus images with different degrees of normal and pathological changes. Background technique [0002] Changes in the structural features of fundus images can directly reflect the severity and treatment of diabetes mellitus. Blood vessels in fundus images are the most stable and main structures visible in fundus images. When visual diseases occur in eye organs, the diameter, color, and curvature of blood vessels in fundus images will be abnormal. Therefore, the segmentation of blood vessels in fundus images is a very important research problem. Due to hardware limitations, fundus images obviously exhibit the following characteristics: uneven illumination, low contrast between blood vessels and background, and many image noise points. This m...

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): G06T7/00
Inventor 肖志涛耿磊张芳吴骏罗君
Owner TIANJIN POLYTECHNIC 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