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

Content based image recognition method

An image recognition and image technology, applied in the field of pattern recognition, can solve problems such as robust and sensitive image recognition technology, and achieve the effect of broad application prospects

Inactive Publication Date: 2007-08-08
INST OF AUTOMATION CHINESE ACAD OF SCI
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Therefore, how to develop more robust and accurate sensitive image recognition technology is still a challenge

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
  • Content based image recognition method
  • Content based image recognition method
  • Content based image recognition method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0021] The main features of the present invention are: 1) A novel image grid division and region growing technology is adopted. This technology can quickly and effectively extract the skin color information in the image; 2) On the basis of network unit and node voting, the interest point and interest area are obtained, which shortens the time for obtaining the target area and reduces the calculation cost; 3 ) comprehensively utilizes the region of interest and the point of interest as the initial information of the human torso contour extraction, and generates the torso contour through the optimization of the pixel point set. This process can not only obtain the local information of the image, but also express the shape information of the human body; 4) extract the shape features, contour features, and local features of the human body and establish a method for rapid image classification.

[0022] The description of each detail problem involved in the technical scheme of the i...

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 image recognition method based on content comprises steps: take grid division to the image; take the grid nodes as initial position to make region growing and obtain skin color information around all nodes of image; use grid cell zone and the mechanism that all nodes vote each other to determine interesting points and zones of image; based on the interesting points and zones, use the movement of points to extract soma contour; finally, extract contour information and local information inside contour to form eigen vector, recognize the image and decide its nature. The invention overcomes problems of low speed, efficiency and strong dependency of device existed in sensitive image recognition techniques such as, color histogram matching, wavelet transformation contour matching, skin color texture description, and image central moment matching, solves the classification of three-points type swim-suit image, nude image and people face image, makes the sensitive image recognition technique further expanded, and exploit its bright application future.

Description

technical field [0001] The invention relates to the field of pattern recognition, in particular to a content-based image recognition method. Background technique [0002] With the rapid development of modern Internet technology, the penetration of the Internet into the global economy and social life has far exceeded people's expectations in terms of depth and influence. Network information security has gradually become an extremely important issue, and the impact on society, especially on minors, has attracted widespread attention. Therefore, information filtering technology has become an urgent theoretical and practical demand. In the United States, these problems have attracted public attention as early as 1994. At that time, American society was deeply troubled by harmful online information such as online pornographic images, violence, and malicious speeches. Fear of pornographic sites, various ugly groups, online sexual assault, etc. A large amount of harmful content o...

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 Patents(China)
IPC IPC(8): G06T7/60G06K9/54
Inventor 谭铁牛胡卫明杨金锋王谦
Owner INST OF AUTOMATION CHINESE ACAD OF SCI
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