Research on Recognition Method of Coating Composition Based on Spectral Image
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DOI: 10.25236/eeems.2018.049
Author(s)
Li Jianfang, Zhou Yanmin
Corresponding Author
Li Jianfang
Abstract
In traditional methods, X-ray detection method is mainly used to identify coating composition. The principle of this method is complex, and it cannot be accurately identified when the coating is seriously oxidized. A design method of coating composition recognition system based on spectral image analysis is proposed. Firstly, the principle is analyzed, and the hardware design of coating composition recognition and detection system is carried out by ADSP21160 processor. The software design uses laser infrared imaging algorithm to image and collect the spectral image of electroplated coating, uses wavelet decomposition to separate and process the noise of the spectral image, realizes feature extraction, identifies the composition of the coating through feature analysis, and develops software and system on Visual DSP+4.5 platform. The simulation results show that the method can accurately detect the composition and content of the coating and has superior performance.
Keywords
Coating, Component Recognition, Spectral Image, Ray Detection