An image optimization method based on an eye fundus color image and related equipment

An optimization method and image technology, applied in image enhancement, image analysis, image data processing, etc., can solve problems such as low efficiency, fundus image distortion, and unfavorable artificial intelligence algorithm learning, and achieve the effect of avoiding image distortion and fundus image enhancement.

Active Publication Date: 2019-06-21
PING AN TECH (SHENZHEN) CO LTD
View PDF7 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, these optimization methods will seriously distort the fundus image, and the color tone will not be uniform, which is not conducive to the learning of artificial intelligence algorithms.
Although at present, image software such as Photo Shop can be used to optimize and adjust images according to research methods such as AREDS, it is labor-intensive and time-consuming and inefficient

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
  • An image optimization method based on an eye fundus color image and related equipment
  • An image optimization method based on an eye fundus color image and related equipment
  • An image optimization method based on an eye fundus color image and related equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0045] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.

[0046] Those skilled in the art will understand that unless otherwise stated, the singular forms "a", "an", "said" and "the" used herein may also include plural forms. It should be further understood that the word "comprising" used in the specification of the present application refers to the presence of the features, integers, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, Integers, steps, operations, elements, components, and / or groups thereof.

[0047] The flow of an image optimization method ...

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 the field of artificial intelligence, discloses an image optimization method based on an eye fundus color photograph image and related equipment. The method comprises the steps of obtaining a to-be-optimized fundus color photo image, performing RGB three-channel separation on the fundus color photo image, performing optimization processing on the separated channel image, and fusing the channel image subjected to optimization processing to generate an optimized fundus color photo image. Three-channel separation is carried out on the fundus image, the separated channelsare optimized respectively, the optimized three-channel image is fused, the optimized fundus image is generated, the fundus image can be enhanced, the visual habit of human eyes is better met, and image distortion is avoided.

Description

technical field [0001] This application relates to the field of artificial intelligence, in particular to an image optimization method and related equipment based on fundus color photos. Background technique [0002] Fundus images contain various physiological structures such as blood vessels, optic discs, and macular areas, which are prone to pathological changes with age. Due to the different degrees of fundus lesions of different patients, different types of diseases, different races, and different models and brands of cameras that obtain fundus images, it is difficult to unify the style of the generated fundus images, which is not conducive to the learning of artificial intelligence algorithms. [0003] The fundus image optimization methods currently on the market, such as CLAHE and other algorithms, all enhance specific areas of the fundus image to segment blood vessels and lesions. However, these optimization methods will seriously distort the fundus image, and the co...

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): G06T5/40G06T5/50G06T7/00G06T7/90
CPCG06T7/00G06T5/40G06T7/90G06T5/50Y02T10/40
Inventor 王瑞王立龙
Owner PING AN TECH (SHENZHEN) CO LTD
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