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A calligraphy character extraction method based on k-nearest neighbor matting and mathematical morphology

A technology of mathematical morphology and extraction method, which is applied in the field of image processing, can solve problems such as the difficult application of information extraction of Chinese characters, and achieve the effect of improving accuracy and artistic appreciation value, smoothing and smoothing edges, and improving accuracy

Inactive Publication Date: 2018-08-28
NORTHWEST UNIV
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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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  • A calligraphy character extraction method based on k-nearest neighbor matting and mathematical morphology
  • A calligraphy character extraction method based on k-nearest neighbor matting and mathematical morphology
  • A calligraphy character extraction method based on k-nearest neighbor matting and mathematical morphology

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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 method for extracting calligraphy characters based on K-nearest neighbor matting and mathematical morphology. A reference image is established through K-nearest neighbor matting. According to the characteristics of complex changes in ink intensity of calligraphy images, an edge extraction method based on mathematical morphology is used. Guided filtering of different window sizes is performed on the inside and edge of the font, and then image fusion technology is used to find more information about shape, quality and spirit. The present invention can more accurately extract the calligrapher's emotional and personality information of the calligraphic works themselves, especially for the pasted images with complex ink shades and fuzzy font edges in ancient Chinese calligraphy works, and can more accurately extract Chinese character information. Especially for the extraction of the information of Chinese characters, the effect is remarkable.

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 Patents(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
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