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

Image object classification device and method

A technology of image objects and classification methods, applied in instruments, character and pattern recognition, computer parts and other directions, can solve problems such as inability to recognize, and achieve the effect of insensitivity to resolution changes and low computational complexity

Inactive Publication Date: 2010-09-22
RICOH KK
View PDF6 Cites 23 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, some tables do not contain or only contain a few straight lines, and the method based on runs cannot effectively identify such tables

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 object classification device and method
  • Image object classification device and method
  • Image object classification device and method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0044] Exemplary embodiments of the present invention are described in detail below with reference to the accompanying drawings.

[0045] figure 1 An overall flow chart of classifying document image objects according to an embodiment of the present invention is shown. In step S11, the document image is read in, and the document image contains a document image area, wherein the document image area only contains a single image object, and when the entire document image only contains a single image object, the document image is the document image area. In the case of reading in a document image containing multiple document image regions, the document image regions can be obtained by manual or automatic image segmentation methods, and can also be obtained from electronic documents (such as Word, HTML files). image 3 and Figure 10 Examples of tables and text image areas are shown respectively. The document image can be a monochrome image or a color image, it can be a multi-g...

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 object classification method, which includes the following steps: division: dividing an image object into a plurality of cells; probability distribution calculation: calculating the probability distribution of all the cells; complexity metric calculation: calculating complexity metric according to the probability distribution; and classification: determining the category of the image object according to the calculated complexity metric. The invention can be used for differentiating words and tables in a document image.

Description

technical field [0001] The present invention relates to a method for classifying image objects and a device for implementing the method, more specifically, to a method for marking and classifying digital document image objects acquired by scanners, fax machines or digital cameras based on image object classification Method and device for implementing the method. Background technique [0002] With the use of office tools such as fax machines and scanners, more and more paper documents are converted into digital document images, resulting in an increasing demand for analysis, indexing and retrieval of these digital document images. The usual processing of digital document images includes binarization and tilt correction of images, layout segmentation and classification of image regions (such as text, tables, pictures, etc.). Depending on the type of document, in some cases, higher-level information will be further extracted and OCR (optical character recognition) tools will b...

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): G06K9/62G06K9/00
Inventor 白笛木李滔
Owner RICOH KK
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