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

Image identification method, device and system

An image recognition and image technology, applied in the field of image processing, can solve problems such as unsatisfactory recognition effect

Active Publication Date: 2018-01-05
ALIBABA GRP HLDG LTD
View PDF9 Cites 14 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, since there are more and more styles of psoriasis in the image, even non-text information such as logos, the effect of using text line detection technology to recognize psoriasis images is not ideal

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 identification method, device and system
  • Image identification method, device and system
  • Image identification method, device and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0025] Embodiments of the present application are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals denote the same or similar modules or modules having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary, and are only for explaining the present application, and should not be construed as limiting the present application. On the contrary, the embodiments of the present application include all changes, modifications and equivalents falling within the spirit and scope of the appended claims.

[0026] figure 1 It is a schematic flowchart of an image recognition method proposed by an embodiment of the present application.

[0027] see figure 1 , the method of this embodiment includes:

[0028] S11: Obtain an image to be recognized.

[0029] Wherein, to be identified is a given image, so as to identify whether the image is an image of a specified ...

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 present invention provides an image identification method, device and system. The method comprises: obtaining an image to be identified; and obtaining an image identification model, wherein the image identification model is generated by performing machine learning of a training sample. The training sample comprises: training images, cluster tag of the training images and dichotomy tag of the training images, wherein clustering tags of the training images are obtained after clusterings of the training images. The image identification model is employed to perform identification of the imageto be identified and determine the dichotomy scoring of the image to be identified. The image identification method can improve an identification effect of a dichotomy image.

Description

technical field [0001] The present application relates to the technical field of image processing, in particular to an image recognition method, device and system. Background technique [0002] Due to the advantages of images such as being beautiful and intuitive, a lot of information can be displayed in the form of images, for example, product information is displayed in the form of images. However, many product images will contain non-subject information such as promotional text, advertising text, watermark, logo, etc. outside the main body of the product. This part of information can be commonly referred to as psoriasis on the image. for psoriasis images. Since the psoriasis on the image will seriously affect the user experience, it is necessary to identify the psoriasis image for subsequent processing such as image filtering. [0003] In related technologies, a text line detection method is usually used to identify psoriasis images. However, since there are more and m...

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): G06K9/62
Inventor 孙佰贵刘扬华先胜
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