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

Image detection method and device

A technology of image detection and image segmentation, which is applied in the field of computer vision, can solve the problem that the detection method cannot have the ability to integrate the diversity of similar objects at the same time, and the ability to distinguish heterogeneous objects, so as to achieve the effect of good integration ability of the same type and ability to distinguish different types

Active Publication Date: 2014-12-03
BEIJING UNIV OF POSTS & TELECOMM
View PDF2 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In view of this, the present application provides an image detection method and device, which are used to solve the problem that the existing detection methods cannot simultaneously have the ability to integrate the diversity of similar objects and the ability to distinguish heterogeneous objects

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 detection method and device
  • Image detection method and device
  • Image detection method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0054] The following will clearly and completely describe the technical solutions in the embodiments of the application with reference to the drawings in the embodiments of the application. Apparently, the described embodiments are only some of the embodiments of the application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.

[0055] see figure 1 , figure 1 It is a flowchart of an image detection method disclosed in the embodiment of this application.

[0056] Such as figure 1 As shown, the method includes:

[0057] Step S100: using an image segmentation algorithm to segment each composite image in the training set to obtain a training object set consisting of several training objects;

[0058] Specifically, the image segmentation algorithm here may be an existing algorithm, such as a mean shift algor...

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 an image detection method and device. The method comprises the steps that an image is divided, a training object set is acquired, a multi-feature tree is established, a plurality of model objects which are independent of one another on visual features are obtained, due to the fact that the establishing process of the multi-feature tree is the process of subdivision by various visual features according to a certain hierarchical distance, the similarity of homogeneous objects on the various visual features can be well expressed, difference only exists on few visual features, heterogeneous objects are only similar on few features and are different on most visual features. Furthermore, all acquired model objects are used for object expression, the similarity degree of image objects and different model objects is calculated to well encode homogeneous diversity information and heterogeneous difference information to object expression together, and therefore a last object detector has good homogeneous integrating capacity and heterogeneous separating capacity simultaneously.

Description

technical field [0001] The present application relates to the technical field of computer vision, and more specifically, to an image detection method and device. Background technique [0002] Image detection is a hot research issue in the field of computer vision, and its performance has an important impact on subsequent image classification and target recognition. [0003] The factors that affect the performance of image detection are: the diversity among the same kind and the ambiguity between the different kinds. Among them, the diversity of the same category means that the objects belonging to the same category do not show the expected consistency in characteristics, but show great diversity in features, postures, perspectives, etc. Objects belonging to different semantic classes may exhibit large similarities in features. Therefore, the image detection algorithm must not only have the ability to integrate the diversity of similar objects, but also have the ability to ...

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): G06T7/00
Inventor 王晓茹王元佑杜军平杜天明
Owner BEIJING UNIV OF POSTS & TELECOMM
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