Supercharge Your Innovation With Domain-Expert AI Agents!

A kind of image quality assessment method and device

A technology for image quality evaluation and quality evaluation, applied in image analysis, image data processing, instruments, etc., can solve the problems of lack of image quality evaluation system, poor image recognition effect, etc., and achieve the effect of simple and efficient evaluation process

Active Publication Date: 2019-08-20
CHENGDU IDEALSEE TECH
View PDF5 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 provide an image quality evaluation method and device, which can evaluate the image quality and solve the image recognition effect caused by the lack of an image quality evaluation system and too many poor quality images when establishing an image retrieval database. Poor problems can improve the recognition accuracy of the image recognition system from the source and improve user experience

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 kind of image quality assessment method and device
  • A kind of image quality assessment method and device
  • A kind of image quality assessment method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0027] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0028] Computer vision is naturally different from human vision. Some images that can be easily recognized by human eyes are difficult for computers to recognize, such as very clear images with few feature points. In the field of image recognition, as well as in the field of augmented reality technology that uses image recognition, image storage is a prerequisite for image recognition. However, since most users do not know how computer vision recognizes images, they...

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

Disclosed in the present invention are an image quality evaluation method and apparatus. In the present invention, a feature point set of an image is collected, a Delaunay triangular network is established for the feature point set, and related data of the Delaunay triangular network is calculated according to the uniqueness of the Delaunay triangular network, so that image quality is evaluated, thereby making the whole evaluation process simple and efficient. The present invention is implemented based on a viewing angle of a computer, and accordingly the present invention is applicable to the technical fields of automatic image recognition and augmented reality.

Description

technical field [0001] The invention relates to the field of image processing and computing, in particular to an image quality evaluation method and device. Background technique [0002] In the field of content-based image recognition, an image is usually characterized by a feature point set. During image recognition, the image retrieval result is determined according to the matching relationship between the feature point pairs. In extreme cases, the retrieval result is consistent with the target There are only a small number of matching feature point pairs between the images. At this time, due to the limitations of the feature description algorithm, if the image quality is poor (for example, there are few feature points that meet the conditions, or the distribution is uneven) when the retrieval database is established, it will be It is difficult to retrieve correct results under extreme conditions, which will interfere with the normal operation of the image recognition syst...

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 陈卓宋海涛
Owner CHENGDU IDEALSEE TECH
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