Calligraphy copy intelligent evaluation and guidance method based on computer vision

A computer vision and post-posting technology, applied in computer parts, computing, computing models, etc., can solve the problems of lack of scoring, lack of intelligence and guidance, and weak interpretability, and achieve the effect of strong practical significance.

Active Publication Date: 2021-05-14
CENT SOUTH UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, although there are related algorithms for evaluating calligraphic images, they lack intelligence and guidance in the evaluation, and the selected features lack the correlation with calligraphy aesthetics, and the interpretability is not strong. The final score also lacks the comparison with human experts. Compare and verify

Method used

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  • Calligraphy copy intelligent evaluation and guidance method based on computer vision
  • Calligraphy copy intelligent evaluation and guidance method based on computer vision
  • Calligraphy copy intelligent evaluation and guidance method based on computer vision

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Embodiment Construction

[0078] The preferred embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings, so that the advantages and features of the present invention can be more easily understood by those skilled in the art, so as to define the protection scope of the present invention more clearly.

[0079] like figure 1 As shown, the invention provides a kind of calligraphy temporary post evaluation method based on image processing, comprises the following steps:

[0080] Step 1: Fix the original aspect ratio, scale the two font images to a width of 400, convert them into grayscale images, and perform binarization processing;

[0081] Step 2: By calculating the number of pixels in each connected domain, set the minimum number of pixels in the connected domain to remove other noise such as ink stains on the font image to be 400, that is, the connected domain with less than 400 pixels Remove other noises such as ink dots and stains on the fon...

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Abstract

The invention discloses calligraphy copy intelligent evaluation and guidance method based on computer vision. The method comprises the following steps: image preprocessing, font matching overlap ratio scoring, structure matching overlap ratio scoring, projection similarity scoring, calligraphy font key point similarity scoring, comprehensive scoring through a machine learning regression algorithm, etc. Through processing the calligraphy image, a reasonable evaluation of a calligraphy font comparison copybook copying effect can be obtained, and the method has a strong guiding significance for calligraphy learner copy scoring and Chinese calligraphy education.

Description

technical field [0001] The invention relates to the technical field of calligraphy image processing and evaluation guidance of temporary posts, in particular to an intelligent evaluation and guidance method of calligraphy temporary posts based on computer vision. Background technique [0002] In calligraphy education, the most basic link is for students to copy the works of calligraphers from past dynasties. For students of different grades, the calligraphy education course will gradually design different model characters for students to practice. For the students' copied works, the calligraphy teacher will compare the differences with the model characters and then score them, and give corresponding guidance to the students. At the same time, students take into account the teacher's suggestions, compare the gaps by themselves, and practice repeatedly to narrow the gaps, so as to lay a good foundation for calligraphy and improve the level of calligraphy. [0003] For studen...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/32G06K9/62G06N20/00G06Q50/20G06T3/40G06T5/00G06T7/13G06T7/33
CPCG06Q50/205G06N20/00G06T7/13G06T7/33G06T3/4038G06T2207/10004G06T2207/20104G06T2207/20164G06T2207/30176G06T2200/32G06V30/347G06V30/36G06V10/25G06V30/287G06F18/22G06T5/70
Inventor 孙铭蔚谢斌徐勇聂海涛彭哲万思远
Owner CENT SOUTH UNIV
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