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K neighbor image matting and mathematical morphology-based calligraphy character extracting method

A technology of mathematical morphology and extraction method, applied in the field of image processing, can solve problems such as difficult to apply Chinese character spirit information extraction, and achieve the effect of improving accuracy and artistic appreciation value, improving accuracy and improving integrity

Inactive Publication Date: 2016-03-02
NORTHWEST UNIV(CN)
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Problems solved by technology

However, this method only focuses on the extraction of Chinese character shape and quality information, and is difficult to apply to the extraction of Chinese character information in pasted images; and in the process of implementing the method, more parameters are obtained based on experience.
Therefore, the method has great limitations

Method used

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  • K neighbor image matting and mathematical morphology-based calligraphy character extracting method
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  • K neighbor image matting and mathematical morphology-based calligraphy character extracting method

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Embodiment Construction

[0059] 1. Detailed steps

[0060] The flow chart of the present invention is as figure 1 As shown, the specific process is as follows:

[0061] A method for extracting calligraphy characters based on K-nearest neighbor matting and mathematical morphology, comprising the following steps:

[0062] Step 1, use software in the computer to read the color image to be processed; the software used in the computer can adopt Matlab software;

[0063] Step 2: Convert the color image to be processed from the RGB color space to the CTE-Lab color space to obtain the L channel. The specific conversion formula is as follows:

[0064] X=0.412453×R+0.357580×G+0.180423×B

[0065] Y=0.212671×R+0.715160×G+0.072169×B

[0066] Z=0.019334×R+0.119193×G+0.950227×B

[0067] x 1 =X / (255×0.950456)

[0068] Y 1 =Y / 255

[0069] Z 1 =Z / (255×1.088754)

[0070] Among them, X, Y, Z represent CIE1931 standard chromaticity observer spectral tristimulus value respectively, R, G, B represent the red, gre...

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Abstract

The invention discloses a K neighbor image matting and mathematical morphology-based calligraphy character extracting method. According to the method, a reference image is established through K neighbor image matting; guided filtering of different window sizes is performed on the interior and edge of a character respectively through using a mathematical morphology-based edge extraction method according to the characteristic that the change of the shade of the ink of a calligraphy image is complex; and more morphological and expressional information is searched through utilizing image fusion technologies. With the K neighbor image matting and mathematical morphology-based calligraphy character extracting method of the invention adopted, expressional information about the emotion and personality of a calligrapher, which is carried by calligraphy itself can be extracted more accurately; Chinese character information can be extracted more accurately for ancient calligraphy works in China which are complex in the change of the shade of ink and are fuzzy in the edge of typefaces; and the effects of the extraction of the expressional information of Chinese characters are significant.

Description

technical field [0001] The invention belongs to the technical field of image processing, and relates to a calligraphy art information extraction method based on K-nearest neighbor matting and digital morphology in the fields of Chinese calligraphy art research and historical and cultural heritage protection, which is used for extracting the spirit information of Chinese characters in calligraphy works images. Background technique [0002] In the field of Chinese calligraphy art research and historical and cultural heritage protection, image preprocessing and image segmentation methods are used to extract the shape, quality and spirit information of Chinese characters more completely and accurately from ancient Chinese calligraphy works. At present, the method of extracting Chinese character information mainly adopts the method of combining image denoising, edge detection and image segmentation to extract the shape and quality information of Chinese characters. [0003] Pekin...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/46
CPCG06V10/443
Inventor 王磊章勇勤许鹏飞陈晓江房鼎益王晔竹赵菁菁
Owner NORTHWEST UNIV(CN)
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