A method of scaling Chinese characters

A technology of Chinese characters and skinning method, which is applied in the direction of instruments, graphics and image conversion, calculation, etc., can solve the problems of Chinese character structure information loss and difficulty in realizing Chinese characters, so as to achieve the effect of improving and avoiding the effect of stroke width inconsistency

Active Publication Date: 2019-12-13
PEKING UNIV
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  • Summary
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, there are few researches on scaling algorithms for Chinese characters. The existing technology is difficult to realize the scaling of Chinese characters that can maintain the structural information of Chinese characters, and cannot solve the problem of loss of structural information of Chinese characters during the scaling process.

Method used

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Embodiment Construction

[0062] Below in conjunction with accompanying drawing, further describe the present invention through embodiment, but do not limit the scope of the present invention in any way.

[0063] The present invention provides a Chinese character zooming method. The zooming method extracts the outline of the Chinese character skeleton, splits the Chinese characters into stroke levels, and then performs zooming and reconstruction on the strokes respectively. The structure information of Chinese characters can be maintained while scaling, so as to solve the problem of loss of structure information of Chinese characters during scaling. The inventive method comprises the steps:

[0064] A. Split the target characters to be scaled to the stroke level. The implementation method is:

[0065] A1. Extract the skeleton points of Chinese characters. The skeleton point extraction of Chinese characters includes methods such as thinning and central axis extraction. This paper adopts the thinning m...

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Abstract

The invention discloses a Chinese character zooming method. The method comprises a Chinese character splitting process, a stroke zooming and reconstruction process and a stroke splicing process, so that structural information of Chinese characters is kept after Chinese character zooming. With Chinese character skeleton outline extraction, Chinese characters are split into strokes; the strokes are zoomed and reconstructed; and the reconstructed and zoomed strokes are spliced. While the Chinese characters are zoomed, the structural information of Chinese characters is kept, so that distortion caused by inconsistency of stroke widths, stroke gradient changing and stroke detail information loss during the non-proportional zooming process is avoided and thus the effects of relevant algorithms in the Chinese character field are enhanced. With the Chinese character zooming method, a problem of structural information loss during the Chinese character zooming process is solved.

Description

technical field [0001] The invention belongs to the field of computer graphics, and relates to a character scaling method, in particular to a scaling method capable of maintaining Chinese character structure information. Background technique [0002] There are many texture features in natural images, and many excellent algorithms have been proposed for the scaling of natural images in academia and industry. The salient algorithm includes Seam Carving (Seam Carving for Content-Aware Image Resizing), but this method is not suitable for Chinese character images with less texture features and highly structured images. Scholars have also proposed corresponding improved algorithms to maintain simple structural information such as straight lines in natural graphs, but for Chinese characters, these methods still cannot obtain satisfactory scaling effects. [0003] The scaling of Chinese characters in traditional academia and industry adopts ordinary interpolation algorithms. The in...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T3/40
CPCG06T3/4038G06T3/4084
Inventor 刘成东连宙辉唐英敏肖建国
Owner PEKING UNIV
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