Tea infrared spectrum classification method for fuzzy uncorrelated C means clustering
A technology of infrared spectrum and mean value clustering, which is applied in the direction of material analysis, analysis materials, instruments, etc. through optical means, which can solve the problems of unable to dynamically extract sample identification information, and achieve the effect of improving accuracy and high clustering accuracy
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[0047] The present invention will be further described below in conjunction with the embodiments and accompanying drawings.
[0048] like figure 1 Shown, method of the present invention comprises the steps:
[0049]Step 1. Infrared spectrum collection and spectral pretreatment of tea samples: Turn on the FTIR-7600 Fourier transform infrared spectrometer and preheat it for 1 hour. The number of scans is 32, and the wavenumber range of the spectral scan is 7800cm -1 ~350cm -1 , the scanning interval is 1.928cm -1 , with a resolution of 4cm -1 . Three kinds of high-quality bamboo leaf green tea, low-quality bamboo leaf green tea and Emeishan Maofeng tea were taken as research objects, and appropriate amount of three kinds of tea leaves were ground and pulverized, and then filtered with a 40-mesh sieve, and 0.5g of each was mixed with potassium bromide at a ratio of 1:100. mix. For each sample, 1 g of the mixture was taken for film pressing, and then scanned 3 times with a ...
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