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

Color classification and identification method and system based on chromatogram similarity measurement

A similarity measurement and color classification technology, applied in the field of color recognition, can solve the problems of inconsistent visual habits and poor color recognition accuracy, and achieve the effect of improving accuracy and interaction friendliness, improving accuracy, and improving chromatographic conversion accuracy.

Inactive Publication Date: 2022-03-11
BEIJING SMARTER EYE TECH CO LTD
View PDF6 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] For this reason, the present invention provides a color classification recognition method and system based on chromatographic similarity measure to solve the technical problems of poor color recognition accuracy and not conforming to visual habits in the prior art, so as to improve color recognition accuracy and interaction friendliness

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
  • Color classification and identification method and system based on chromatogram similarity measurement
  • Color classification and identification method and system based on chromatogram similarity measurement
  • Color classification and identification method and system based on chromatogram similarity measurement

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0046] The implementation mode of the present invention is illustrated by specific specific examples below, and those who are familiar with this technology can easily understand other advantages and effects of the present invention from the contents disclosed in this description. Obviously, the described embodiments are a part of the present invention. , but not all examples. 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.

[0047] In order to solve the problems of poor recognition accuracy of existing color classification and unfriendly human-computer interaction, the present invention uses the human visual color space image as the basis for color spectrum conversion, and uses the target color spectrum obtained by multi-dimensional color spectrum fusion as a category comparison parameter to improve the recognition ac...

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 a color classification identification method and system based on chromatogram similarity measurement, and the method comprises the steps: obtaining a to-be-identified target color image, and converting the target color image into a human visual color space image; performing multi-dimensional chromatographic conversion on each effective pixel point of the human visual color space image, and fusing chromatographic conversion results of each dimension to obtain a target chromatogram; and performing chromatographic similarity measurement on the target chromatogram and a pre-stored target category, and if a similarity measurement result is greater than a threshold value, determining that the target color image is the target category. The technical problems that in the prior art, color recognition accuracy is poor, and visual habits are not met are solved, and color recognition accuracy and interaction friendliness are improved.

Description

technical field [0001] The invention relates to the technical field of color recognition, in particular to a color classification recognition method and system based on chromatogram similarity measurement. Background technique [0002] In some practical application scenarios, it is necessary to classify or identify objects according to their colors. For example, color comparison analysis can be performed on the images of standard samples of known categories and the target to be identified, and the target can be classified or identified according to the similarity of their colors. The output image of the camera is usually a grayscale image or a color image in RGB color space. However, the grayscale image has too little information, resulting in low recognition accuracy; and the RGB color space does not conform to human visual habits, and is not suitable for color recognition. Contents of the invention [0003] For this reason, the present invention provides a color classi...

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): G06V20/10G06V10/56G06V10/74G06V10/764G06V10/80G06K9/62
CPCG06F18/22G06F18/25G06F18/24
Inventor 孟然柴华贾勇王哲
Owner BEIJING SMARTER EYE TECH CO 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