Method for automatically extracting stamper image from Chinese painting and calligraphy

A technology for automatic extraction of calligraphy and painting works, applied in image enhancement, image data processing, special data processing applications, etc., can solve problems such as inability to achieve

Inactive Publication Date: 2008-02-13
BEIJING UNION UNIVERSITY
View PDF0 Cites 22 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

For the extraction and recognition of seal images in Chinese calligraphy and painting works, the above-mentioned "official seal" extraction method cannot play its due role

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 automatically extracting stamper image from Chinese painting and calligraphy
  • Method for automatically extracting stamper image from Chinese painting and calligraphy
  • Method for automatically extracting stamper image from Chinese painting and calligraphy

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0036] The method of the present invention will be described in detail below in conjunction with the accompanying drawings and embodiments.

[0037] The method of the present invention acquires a digital image of a Chinese painting and calligraphy work or part of the work containing seal information by a conventional method, uses an image processing and combination method to identify and extract the seal images in the Chinese painting and calligraphy work one by one.

[0038] As shown in Figure 1, the stamp image extraction method includes the following steps:

[0039] 1. Using L-based * a * b * Component color analysis, and the mapping method of its analysis result to RGB color space to filter out non-red color information in the target image;

[0040] 2. Process the noise contained in the remaining information of the image;

[0041] 3. Eliminate non-seal information in the remaining information of the image;

[0042] 4. Image segmentation and extraction of stamps.

[0...

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 relates to a method of automatic extracting seal image from Chinese handwriting and drawing works, and the method comprises following steps: The L*a*b* component color analysis and the method of mapping the analysis results to the RGB color space are used to filter the non-red color information from the target image; The remained information of the image is de-noised; The non-seal information in the remained information of the image is eliminated using the geometrical region based secondary splitting and filtering method, the communication region based image filtering method and the margin detection method; and the existing position corresponding relations between the rectangle L3 and the Chinese handwriting and drawing works are used for image splitting and extracting. The invention provides a method of accurate and automatic extracting all seal image information from a part of or the whole part of a digital image of Chinese handwriting and drawing works, so the invention establishes a foundation for realizing contents-based Chinese handwriting and drawing work image indexing system with the seal image as the key information. The invention can be widely used in the field of cultural relic digitalization.

Description

technical field [0001] The invention relates to an image extraction method, in particular to a method for automatically extracting seal images in Chinese calligraphy and painting works. Background technique [0002] Seals in Chinese calligraphy and painting works have important artistic value and are an inseparable part of calligraphy and painting works. The identification and retrieval of seal images in calligraphy and painting works can help to realize the retrieval and identification of relevant information of calligraphy and painting works. [0003] Image retrieval technology has been a very active research topic since the 1970s. So far, there are two main retrieval technologies: semantic-based retrieval technology and content-based retrieval technology. Early image retrieval was based on semantic (image keyword) retrieval. This retrieval method needs to manually label each image according to its content, and then store the label information in the text database for lat...

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): G06T5/00G06F17/30G06K9/34
Inventor 娄海涛鲍泓唐智星康乐张鑫蕊
Owner BEIJING UNION UNIVERSITY
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