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

Image processing device and image processing method

An image processing device and image technology, applied in image data processing, image analysis, instruments, etc., can solve the problems of huge parameters and limited scope of application.

Active Publication Date: 2014-01-22
SONY COMPUTER ENTERTAINMENT INC
View PDF6 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, since the input data is based on pixel values, the parameters are larger than those of general information analysis.
Therefore, there is a problem that the higher the resolution of the image to be processed, the more limited the scope of application due to the constraints of the processing capability and resources of the device.

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 processing device and image processing method
  • Image processing device and image processing method
  • Image processing device and image processing method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0024] The present invention will describe preferred embodiments for reference. The examples do not limit the scope of the present invention, but illustrate the present invention.

[0025] In the present embodiment, principal component analysis is performed on the entire plurality of original images so that feature vectors representing principal components can be confirmed as images. If the number of original images to be analyzed is N, then the principal component analysis is generally performed according to the following steps. First, the input data I of each original image to be analyzed is generated as follows 1 ~I N .

[0026] 〔Formula 1〕

[0027] I 1 =(p 1 (1), p 1 (2), p 1 (3), p 1 (4),...,p 1 (m)

[0028] I 2 =(p 2 (1), p 2 (2), p 2 (3), p 2 (4),...,p 2 (m)

[0029] I 3 =(p 3 (1), p 3 (2), p 3 (3), p 3 (4),...,p 3 (m)

[0030] ....

[0031] I N =(p N (1), p N (2), p N (3), p N (4),...,p N (m)

[0032] Here, p n (i) re...

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 provides an image processing device and an image processing method. A pixel set formation unit in an image analysis unit of an image processing device forms pixel sets from original images subject to analysis. A principal analysis unit of the image analysis unit performs principal component analysis in units of pixel sets. A synthesis unit synthesizes results of analysis in units of pixel sets so as to generate images of eigenvectors of a size of the original images. An image generation unit displays the images of the eigenvectors and stores data for an image generated by using the images of the eigenvectors in a generated image storage unit.

Description

technical field [0001] The present invention relates to an image processing device for analyzing and processing acquired images and an image processing method used in the device. Background technique [0002] For the purpose of pattern recognition of subjects such as faces, data compression, etc., an image analysis technique using principal component analysis has been proposed (for example, refer to Patent Document 1). Principal component analysis is a method of multivariate analysis. By obtaining the eigenvectors with large eigenvalues ​​from the correlation matrix or variance-covariance matrix of multidimensional vectors, the dominant factor can be derived as the distribution Explanation. When it is used in image analysis, the pixel value of the image is used as input data, and through the linear combination of the calculated feature vectors, the original image can be restored with a small amount of data, or the similarity between images can be obtained. [0003] [Prior ...

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): G06K9/46G06K9/00G06T7/00G06V10/40
CPCG06K2009/4666G06K9/46G06K9/6247G06K9/481G06V10/467G06V10/40G06V20/66G06V10/7715G06F18/2135
Inventor 冈正昭
Owner SONY COMPUTER ENTERTAINMENT INC
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