A feature representation method of calligraphy and painting identification map based on spectral imaging technology

A technique of calligraphy and painting identification and spectral imaging, applied in the measurement of color/spectral characteristics, etc., can solve the problems of cooperation and fake, few experts in calligraphy and painting identification, difficulty, etc., to achieve the effect of ensuring accuracy

A technique of calligraphy and painting identification and spectral imaging, applied in the measurement of color/spectral characteristics, etc., can solve the problems of cooperation and fake, few experts in calligraphy and painting identification, difficulty, etc., to achieve the effect of ensuring accuracy

CN109724921BActive Publication Date: 2020-06-26XI'AN INST OF OPTICS & FINE MECHANICS - CHINESE ACAD OF SCI
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  • A feature representation method of calligraphy and painting identification map based on spectral imaging technology
  • A feature representation method of calligraphy and painting identification map based on spectral imaging technology
  • A feature representation method of calligraphy and painting identification map based on spectral imaging technology

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Embodiment Construction

[0055] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0056] For the calligraphy and painting identification method based on spectral imaging technology, the specific real-time method of this embodiment is:

[0057]1) Calligraphy and painting identification Select elements such as ink, pigment, painting style, inscription (text), seal, brush strokes, and paper mounting for characteristic representation.

[0058] 2) The stroke expression method used in calligraphy and painting appraisal is: define four characteristics of horizontal and vertical strokes, which include spectral amplitude and spatial angle (such as figure 1 As shown, it is a 0-1 binary map).

[0059] The feature representation process is as follows: perform principal component transformation on the hyperspectral image of calligraphy and painting to obtain the first principal component image, and then use the feature window (matrix wi...

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Abstract

The invention provides a graph features representation method for calligraphy and painting identification based on spectral imaging technology. Strokes, inks, paints, styles, inscriptions, seals, and / or papers of the calligraphy and painting are selected to represent features. A graph features representation method for identifying and analyzing elements for the spectral imaging identification technology of the painting and calligraphy is provided, which assists a computer in quantifying knowledge. A basic unit of the identification model and algorithm is built. Finally, the scientific identification of calligraphy and painting is better accomplished. The feature representation method has features of quantitative, comprehensive and simulated expert identification knowledge, which can ensurethe accuracy of calligraphy and painting technology identification. The problem of difficulties of calligraphy and painting identification and fraud is solved.

Description

technical field [0001] The invention relates to a method for expressing features of a map of calligraphy and painting identification technology, in particular to a method for expressing features of a map of calligraphy and painting identification based on spectral imaging technology. Background technique [0002] Calligraphy and painting works of art have high artistic value and economic value. Therefore, the phenomenon of counterfeiting of calligraphy and painting is increasing day by day, the number of counterfeit works is getting higher and higher, and the means and techniques of counterfeiting are becoming more and more proficient and concealed. The inheritance of traditional calligraphy and painting culture has a bad influence. [0003] As a fair means to protect calligraphy and painting transactions, auctions and collections, calligraphy and painting appraisal has important social and market significance. The traditional visual inspection method based on expert human ...

Claims

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Application Information

Patent Timeline
26 Jun 2020
Publication
CN109724921B
IPC
G01N21/25
Inventors
唐兴佳; εΌ ζœ‹ζ˜Œ