Method for realizing classification of scene images

A technology of scene image and classification method, which is applied in the direction of instruments, character and pattern recognition, computer parts, etc., can solve the problem of not being able to effectively use various feature information of images, scene image classification has not yet achieved satisfactory results, and ignoring classifiers Complementary advantages of different features and other issues to achieve the effect of improving classification accuracy, fast computing speed, and good noise resistance

Active Publication Date: 2010-08-25
INST OF AUTOMATION CHINESE ACAD OF SCI
View PDF1 Cites 41 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The existing scene image classification methods often use a single classifier, and only select a single-stage classifier to complete the final classification according to the empirical observation of the scene image. This method cannot effectively use va

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
  • Method for realizing classification of scene images
  • Method for realizing classification of scene images
  • Method for realizing classification of scene images

Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

In order to make the objectives, technical solutions, and advantages of the present invention clearer, the following further describes the present invention in detail in conjunction with specific embodiments and with reference to the accompanying drawings.

Figure 1 shows a schematic diagram of the system structure of the present invention. The basic hardware conditions required to realize the system structure of the present invention are: a computer with a main frequency of 2.4GHz and a memory of 1G; the required software conditions are: a programming environment ( Visual C++ 6.0), the system structure of the present invention is implemented in a computer, including: scene image reading module 1, gray image judgment module 2, gray image conversion module 3, image grade division module 4, local binary mode feature calculation Module 5, local binary pattern feature quantification module 6, histogram calculation module 7, principal component analysis calculation module 8, histogram...

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 method for realizing classification of scene images. In the method, the scene images are classified by adopting two stages of classifiers, wherein the first-stage classifier obtains candidate classifications by utilizing global structural information characteristics, and judges similar classification pairs according to classification results; and the second-stage classifier distinguishes similar classifications by utilizing local texture information characteristics. By adopting the cascade of the classifiers and comprehensively utilizing the global structural information characteristics and the local texture information characteristics of the scene images, the method can realize robust classification of different scene classifications and effectively distinguish similar scene classifications.

Description

technical field The invention belongs to the technical field of pattern recognition and information processing, and relates to the automatic processing technology of digital images, in particular to a classification method of scene images. Background technique With the wide application of various image acquisition devices such as digital cameras, cameras, ultra-high-speed scanners, and the rapid development of the Internet, the number of digital images has grown exponentially. According to incomplete statistics, more than 18 billion digital images were generated in 2004 alone. images, and Google Image Search has indexed hundreds of millions of images, so how to effectively classify images is becoming more and more important. A person can usually recognize more than 10,000 categories of visual objects, and the recognition process is fast and effortless. It is also robust to perspective, light, occlusion and background confusion, and it only takes a few minutes to recognize a ...

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
IPC IPC(8): G06K9/66
Inventor 王春恒程刚肖柏华李心洁
Owner INST OF AUTOMATION CHINESE ACAD OF SCI
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products