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

Image classification method, image classification device and terminal equipment

A classification method and a classification device technology, applied in the field of image processing, can solve problems such as low accuracy of image classification and difficulty in distinguishing global features

Inactive Publication Date: 2020-01-17
GUANGDONG OPPO MOBILE TELECOMM CORP LTD
View PDF7 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Existing image classification methods usually use deep learning to extract global features of the entire image for image classification, but for some images that are relatively similar between categories, it is difficult to distinguish them using global features, and the accuracy of image classification is low

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, image classification device and terminal equipment
  • Image classification method, image classification device and terminal equipment
  • Image classification method, image classification device and terminal equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0028] In the following description, specific details such as specific system structures and technologies are presented for the purpose of illustration rather than limitation, so as to thoroughly understand the embodiments of the present application. It will be apparent, however, to one skilled in the art that the present application may be practiced in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present application with unnecessary detail.

[0029] In a specific implementation, the terminal devices described in the embodiments of this application include but are not limited to other portable devices such as mobile phones, laptop computers or tablet computers with touch-sensitive surfaces (for example, touch screen displays and / or touch pads) . It should also be appreciated that in some embodiments, the device is not a p...

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 is suitable for the technical field of image processing, and provides an image classification method, an image classification device and terminal equipment, and the method comprises thesteps: obtaining a to-be-detected image; respectively acquiring global features and color histogram features of the image to be detected; reducing the dimension of the color histogram feature to one dimension to obtain a one-dimensional color histogram feature; carrying out feature splicing on the one-dimensional color histogram features and the one-dimensional global features to obtain one-dimensional splicing features of the to-be-detected image; and inputting the one-dimensional splicing features of the to-be-detected image into a classifier, and outputting the category of the to-be-detected image by the classifier. According to the method, the accuracy of image classification can be improved.

Description

technical field [0001] The present application belongs to the technical field of image processing, and in particular relates to an image classification method, an image classification device and a terminal device. Background technique [0002] With the rapid development of deep learning technology, deep learning has become an advanced technology in image classification. Existing image classification methods usually use deep learning to extract global features of the entire image for image classification, but for some images that are relatively similar between categories, it is difficult to distinguish them using global features, and the accuracy of image classification is low. Contents of the invention [0003] The present application provides an image classification method, an image classification device and a terminal device, so as to improve the accuracy of image classification. [0004] The first aspect of the present application provides a kind of image classificatio...

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): G06K9/62G06K9/46
CPCG06V10/56G06F18/213G06F18/24G06F18/253
Inventor 贾玉虎
Owner GUANGDONG OPPO MOBILE TELECOMM CORP LTD
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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com