Image classification method and device

A classification method and image technology, applied in neural learning methods, character and pattern recognition, instruments, etc., can solve problems such as inability to accurately classify images, achieve the effect of reducing the probability of classification errors and improving accuracy

Active Publication Date: 2020-09-25
GUANGDONG UNIV OF TECH
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The invention provides an image classification method and device, which are us

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
  • Image classification method and device
  • Image classification method and device
  • Image classification method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0052] Embodiments of the present invention provide an image classification method and device, which are used to solve the technical problem that relatively similar images cannot be accurately classified.

[0053] In order to make the purpose, features and advantages of the present invention more obvious and understandable, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the following 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 making creative efforts belong to the protection scope of the present invention.

[0054] see figure 1 , figure 1 It is a flowchart of steps of an image classification method provided by an embodiment of the presen...

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 image classification method and device, which are used for solving the problem that relatively similar images cannot be accurately classified. The method comprises the stepsof inputting a preset classification image into a main model to obtain a first classification result; inputting the first classification result into the condition judgment model to obtain judgment parameters; when the judgment parameter is greater than or equal to a preset threshold, outputting the first classification result; and when the judgment parameter is smaller than a preset threshold, inputting the preset classification image into the error correction model to obtain a second classification result, and outputting the second classification result. In the embodiment of the invention, the condition judgment is introduced to correct the classification result of the main model, so that the probability of classification errors is reduced, and the accuracy of image classification is improved.

Description

technical field [0001] The present invention relates to the technical field of image classification, in particular to an image classification method and device. Background technique [0002] In recent years, image classification has aroused great research interest and has been successfully deployed in many application products, such as mobile phones, personal computers and other terminal devices, intelligently solving many practical image processing problems. [0003] With the rapid development of deep learning technology, deep learning has become an advanced technology in image classification. However, the existing image classification methods usually use deep learning to extract the global features of the entire image for image classification, and cannot accurately classify images that are relatively similar between some categories. [0004] At present, there are many image classification models whose classification error rate is around 20% in the ImageNet database contai...

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
IPC IPC(8): G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06N3/047G06N3/048G06N3/045G06F18/2415G06F18/241
Inventor 邢玛丽刘德城李攀硕张斌
Owner GUANGDONG UNIV OF TECH
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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap