Distinguishing method based on big data composite characteristics of antique lacquerware paint films

Abstract

The invention discloses a distinguishing method based on big data composite characteristics of antique lacquerware paint films. The distinguishing method comprises the following steps: carrying out data characteristic extraction on existing antique lacquerware paint film certified product samples, wherein data characteristics comprise chemical component characteristics, microscopic image characteristics, scanning electron microscope X-ray energy spectrum characteristics, Fourier transform infrared spectrometer characteristics and Raman spectrometer characteristics; establishing a pattern recognition classifier for a sample database and the antique lacquerware paint films according to the extracted data characteristics, and carrying out label calibration on the existing antique lacquerware paint film certified product samples respectively; obtaining the data characteristics of unknown lacquerware paint films to be detected and authenticated, and carrying out comparison with parameters in a database to obtain optimal matching results, if matching succeeds, recognizing the class, technology and age predicting results of samples to be detected, or, reminding abnormal information by the classifier to complete authentication of the lacquerware paint films. According to the distinguishing method, a scientific method is provided for cultural relic true and false deduction, age identification and technology distinguishing of the lacquerware paint films.

Description

technical field [0001] The invention relates to the fields of identification of cultural relics, chemical composition and spectrum analysis, and image pattern recognition, and in particular refers to a method for identifying complex characteristics of large data of ancient lacquer ware paint films. Background technique [0002] With the application of modern testing instruments, big data, and pattern recognition technology, in the fields of cultural relic composition analysis, age, process identification and authenticity identification, the use of modern instrument detection methods combined with computer big data processing methods for scientific detection and discrimination has become a research hotspot. . The cultural relic identification and discrimination method based on pattern recognition can obtain scientific and accurate decision-making results, and has many advantages over manual identification. [0003] Judging from the current research and application, the use o...

AI Technical Summary

Problems solved by technology

[0004] 1. The use of instrumental analysis focuses on the analysis of the internal composition of the lacquerware paint film. Generally, individual samples are tested one by one, and there is a lack of inductive storage and systematic analysis of batch testing data;

[0005] 2. Determine the composition content of the instrument detection data, and compare it with the spectral image of the standard substance. Although a relatively accurate judgment can be made within the error tolerance range, there are often many kinds of components in the actual lacquerware paint film. The elements are mixed, and the detected data often cannot reflect its real material composition and content;

[0006] 3. The process discrimination, age and classification of lacquerware paint film are generally based on observation and experience, lack of data support, resulting in unobjective results

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