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

Feature extraction method, image identification method, device and electronic equipment

A feature extraction and image recognition technology, applied in the field of image processing, can solve problems such as reducing the accuracy and efficiency of image recognition, image tracking, image processing work impact, and inability to effectively transmit image information, so as to increase the amount of information and improve efficiency. Characterization, the effect of overcoming limitations

Pending Publication Date: 2017-12-22
SHENZHEN INTELLIFUSION TECHNOLOGIES CO LTD
View PDF5 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

If the feature extraction is not complete, sufficient and inaccurate, the information of the image cannot be effectively transmitted, which will affect the subsequent image processing work, such as reducing the accuracy and efficiency of subsequent image recognition and image tracking.

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
  • Feature extraction method, image identification method, device and electronic equipment
  • Feature extraction method, image identification method, device and electronic equipment
  • Feature extraction method, image identification method, device and electronic equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0061] figure 1 It is a flow chart of the feature extraction method provided by the embodiment of the present invention. Wherein, according to different requirements, the order of the steps in the flow chart can be changed, and some steps can be omitted. Such as figure 1 As shown, the feature extraction method may include the following steps:

[0062] S10: Acquiring a target image.

[0063] The above target image is an image to be subjected to feature extraction. For example, if feature extraction is to be performed on an image captured by a camera, the image captured by the camera is used as a target image, and the target image is obtained. Meanwhile, the target image may be an original image captured by the camera, or an image obtained after preprocessing (for example, cutting the original image) on the original image captured by the camera.

[0064] The content in the target image may include: people, animals, buildings, scenery, etc., and the content in the target ima...

Embodiment approach

[0235] As a preferred embodiment, the device of the present invention also includes:

[0236] A dimensionality reduction module, configured to perform dimensionality reduction processing on the combined feature vector representing the target image.

[0237] The dimensionality reduction module may perform dimensionality reduction processing on the combined feature vector representing the target image before calculating the distance between the combined feature vector representing the target image and the feature vectors of the sample images in the image library.

[0238] After obtaining the combined feature vector representing the target image, in order to make the expression more concise and convenient for subsequent use, the combined feature vector representing the target image can be subjected to dimensionality reduction processing to reduce the computational complexity of subsequent use and improve computational efficiency.

[0239] The dimensionality reduction method inclu...

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

A feature extraction method comprises the following steps: obtaining a target image; dividing the target image into at least two areas according to the figure vertical direction in the target image; extracting color information of each area in a plurality of color spaces; combining the color information, extracted from the at least two areas, of the plurality of color spaces, thus obtaining a target image combined characteristic vector. The invention also provides a feature extraction device, an image identification method and device, and electronic equipment. The method can accurately extract image features, and can use the features to carry out image identification and tracking.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a feature extraction method, an image recognition method, a device and electronic equipment. Background technique [0002] With the development of computer technology, there are more and more applications of image processing technology, such as recognizing faces through image recognition technology, tracking people through image tracking technology, etc. Among them, people need to be recognized. However, in character recognition, the posture and movement of the human body often change greatly, so many features cannot be used. Feature extraction is an important technical link of image processing technology. Specifically, feature extraction uses a computer to extract image information to provide a basis for further image processing (such as image matching, image tracking, and person recognition, etc.). If the feature extraction is not complete, sufficient and inaccurate, ...

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): G06K9/00G06K9/46G06K9/62
CPCG06V40/103G06V10/50G06V10/56G06V10/757G06F18/2135
Inventor 杨茜牟永强
Owner SHENZHEN INTELLIFUSION TECHNOLOGIES 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