Unlock instant, AI-driven research and patent intelligence for your innovation.

Fuzzy fundus image automatic detection and screening method based on visual fuzziness

A fundus image and automatic detection technology, applied in the field of medical image processing, can solve problems such as false colors, dark spots, and inaccurate focus of the fundus imaging system

Inactive Publication Date: 2016-07-20
ZHEJIANG UNIV
View PDF2 Cites 10 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] Blurred fundus images are not conducive to the diagnosis of clinical ophthalmic diseases. There are two causes of blurring: one is the inaccurate focus of the fundus imaging system, which is manifested in the unclear structure of various tissues in the fundus image, especially the fine structures such as blood vessels; One is that due to uneven lighting during shooting, there are bright spots, dark spots or false colors in the fundus image locally.

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
  • Fuzzy fundus image automatic detection and screening method based on visual fuzziness
  • Fuzzy fundus image automatic detection and screening method based on visual fuzziness
  • Fuzzy fundus image automatic detection and screening method based on visual fuzziness

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0064] Such as image 3 As shown, the best embodiment of the present invention includes image preprocessing steps P1-P4, and fuzzy determination steps S1-S4, and the specific steps are as follows:

[0065] Step P1: Machine Vision De-redundancy

[0066] The red channel is separated from the color image, and the red channel is binarized using the Otsu method, and then the center point of the image is used as the center of the circle, and the non-zero value pixels in the binarized image are traversed to find the largest radius, thereby obtaining a circular mask. Make a circumscribed square of the circle, remove the image pixels outside the circumscribed square, and obtain the cropped image, shown as figure 2 shown.

[0067] Step P2: Luma channel processing

[0068] The green channel I of the cropped image is separated, because in the fundus image, the contrast of the green channel is the most obvious, so the green channel is treated as a brightness channel. First find the av...

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 fuzzy fundus image automatic detection and screening method based on visual fuzziness. The method comprises the following steps: S1, calculating a perceptible fuzziness degree; S2, carrying out Bayes decision-making; and S3, constructing a Bayes classifier and determining whether an image is fuzzy. The fuzzy fundus image automatic detection and screening method based on the visual fuzziness, provided by the invention, can simply and effectively determine whether a fundus image is fuzzy.

Description

technical field [0001] The invention relates to the field of medical image processing, in particular to an automatic detection and screening method for fuzzy fundus images based on visual fuzziness. Background technique [0002] Blurred fundus images are not conducive to the diagnosis of clinical ophthalmic diseases. There are two causes of blurring: one is the inaccurate focus of the fundus imaging system, which is manifested in the unclear structure of various tissues in the fundus image, especially the fine structures such as blood vessels; One is due to uneven lighting during shooting, resulting in local bright spots, dark spots or false colors in the fundus image. Such as figure 1 As shown, the normal image (a), blur caused by cause one (b) and blur caused by cause two (c) are shown respectively. Contents of the invention [0003] The technical problem to be solved by the present invention is to provide an automatic detection and screening method for blurred fundus ...

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): G06T7/00
CPCG06T7/0012G06T2207/20081G06T2207/30041G06T2207/30168
Inventor 王少泽钱大宏
Owner ZHEJIANG UNIV
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More

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

© 2025 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com