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

A Optic Disc Localization Method Combining GBVS Model and Phase Consistency

A positioning method and consistent technology, applied in the field of image processing, can solve problems such as poor robustness, lesion interference, and time-consuming optic disc positioning, and achieve the effect of rigorous overall thinking, good anti-noise performance, and good effect

Active Publication Date: 2019-08-16
TIANJIN POLYTECHNIC UNIV
View PDF6 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Analyzing the existing optic disc localization methods in fundus images, the optic disc localization method using the appearance characteristics of the optic disc is suitable for normal fundus images, but when there are fundus lesions with similar brightness to the optic disc, it is easily disturbed by lesions and has poor robustness ; and for the optic disc positioning method based on blood vessel segmentation, because the blood vessel segmentation itself is a complicated task, the optic disc positioning based on this method often takes a long time and cannot meet the real-time requirements of fundus optic disc detection

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
  • A Optic Disc Localization Method Combining GBVS Model and Phase Consistency
  • A Optic Disc Localization Method Combining GBVS Model and Phase Consistency
  • A Optic Disc Localization Method Combining GBVS Model and Phase Consistency

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0023] The flow chart of the present invention is as figure 1 As shown, first extract the green channel of the color fundus image; then obtain the mask image of the fundus image to obtain the region of interest of the fundus image; then extract three types of features: brightness, brightness contrast, and phase consistency; use the Gbvs model to construct a saliency map ;Extract the skeleton line of veins and blood vessels from the fundus image, and use the least squares method to perform parabola fitting; judge whether the significance in the neighborhood of the parabola apex is higher than the average significance of the entire fundus image, if yes, use the parabola apex as the optic disc positioning result, otherwise use The sliding window scanning method scans the total saliency map, and regards the position with the highest saliency as the optic disc. The specific implementation process of the technical solution of the present invention will be described below in conjunct...

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 an optic disk positioning method combining Gbvs model and phase consistency. The implementation process is: (1) extracting the green channel of the color fundus image; (2) obtaining the mask image of the fundus image to obtain the Region of Interest (ROI) of the fundus image; (3) extracting brightness, Three types of features: brightness contrast and phase consistency; (4) Construct a saliency map with an improved graph-based visual saliency model (Gbvs); (5) Extract the skeleton line of veins and blood vessels from the fundus image, and use the least squares method Parabola fitting; (6) comparing the significance in the neighborhood of the apex of the parabola with the average significance of the entire fundus image to determine the position of the optic disc. In the process of calculating the saliency map, according to the characteristics of the optic disc in the fundus image, three types of features, brightness, brightness contrast, and phase consistency are extracted, and the saliency model based on the map is improved, and the structural characteristics of the veins are used when locating the optic disc. Aids in precise positioning. The experiment proves that the method in this paper works well.

Description

technical field [0001] The invention belongs to the technical field of image processing, and relates to an optical disk positioning method combined with a Gbvs model and phase consistency. It can be used to locate the optic disc on fundus images with different degrees of normal and lesion. Accurate optic disc positioning can assist in locating the position of important tissue structures in the retinal fundus, and plays an important role in fundus image analysis. Background technique [0002] The processing and analysis of retinal fundus images can help doctors to screen and diagnose eye diseases and systemic diseases such as diabetes, and track the development of diseases. In the color retinal fundus image, the optic disc is a sub-circular, nearly yellow or white bright spot, accounting for about one-seventh of the fundus image in diameter. In addition, since the optic disc is the origin of the optic nerve and the origin of fundus blood vessels, there are a large number of...

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): G06T7/70G06K9/46
CPCG06T2207/30041G06T2207/20104G06V10/462
Inventor 吴骏肖志涛张亚男张芳耿磊
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