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

Garment image classification method, device and equipment and image classification method, device and equipment

A classification method and image technology, applied in image analysis, image enhancement, image data processing, etc., can solve the problem of inaccurate classification results of multiple images, and achieve the effect of small classification error

Pending Publication Date: 2020-07-31
ALIBABA GRP HLDG LTD
View PDF16 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The embodiment of the present application provides a clothing image classification, image classification method, device and equipment, to solve the technical problem of inaccurate multiple image classification results in the prior art

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
  • Garment image classification method, device and equipment and image classification method, device and equipment
  • Garment image classification method, device and equipment and image classification method, device and equipment
  • Garment image classification method, device and equipment and image classification method, device and equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0052] In order to enable those skilled in the art to better understand the solutions of the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application.

[0053]In some processes described in the specification and claims of the present application and the description in the above-mentioned drawings, multiple operations appearing in a specific order are included, but it should be clearly understood that these operations may not be performed in the order in which they appear herein Execution or parallel execution, the serial numbers of the operations, such as 101, 102, etc., are only used to distinguish different operations, and the serial numbers themselves do not represent any execution order. Additionally, these processes can include more or fewer operations, and these operations can be performed sequentially or in parall...

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 embodiment of the invention provides a garment image classification method, device and equipment and an image classification method, device and equipment. The garment image classification method comprises the steps: acquiring a plurality of garment images; for any garment image, dividing the garment image into a plurality of area images; respectively extracting color histogram features of theplurality of region images; performing weighting processing on the color histogram features of the plurality of region images to obtain image features of the garment image; clustering the plurality ofgarment images based on the image features of the plurality of garment images to obtain a plurality of image sets; and determining the number of images of at least one garment image corresponding tothe plurality of image sets. According to the technical scheme provided by the embodiment of the invention, the garment classification precision is improved.

Description

technical field [0001] The embodiments of the present application relate to the field of computer application technology, and in particular to a clothing image classification, image classification method, device and equipment. Background technique [0002] At present, in order to facilitate management and improve work efficiency, existing garment processing factories use more than one production unit to handle only one fixed job, so as to realize the production process of batch garments, that is, the assembly line work method in the usual sense. [0003] Because garment processing factories may process different garments at the same time, in order to obtain the processing quantities of different garments, it is necessary to carry out quantitative statistics of different processed garments. Usually, the camera is used to collect images of clothing, and the features such as sift feature points, textures, and edge contours of the image are extracted as image features, and then ...

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): G06K9/62G06K9/46G06T5/40G06T7/11G06T7/90
CPCG06T5/40G06T7/90G06T7/11G06V10/50G06V10/44G06V10/56G06F18/2321G06V10/40
Inventor 赵永飞龙一民袁炜徐博文吴剑胡露露张民英神克乐刘志敏陈新尹宁
Owner ALIBABA GRP HLDG 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