Method for conversion of spectrum into chromaticity
A spectral conversion and chromaticity technology, applied in the spectrum field, can solve problems such as the inability to quickly identify spectral curves
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Embodiment 1
[0054] The first step, spectral image acquisition and digital processing
[0055] The source of the collected spectral image is the simulated spectral image to be identified provided by the user, see figure 2 . The spectral picture is synthesized by two Gaussian functions to simulate the spectral curve picture, using the formula:
[0056] I = 1.0 × exp [ - ( λ - 4900 ) 2 1000 ] + 0.1 × exp [ - ( λ - 610 ) 2 6000 ] - - - ( 2 - 1 ...
Embodiment 2
[0090] The first step, spectral image acquisition and digital processing
[0091] The source of the spectral image collection is the computer spectral image after the spectral image in the literature (Luminescence Journal, 2000 (12), 21 (4): 380-382) is digitalized by a scanner, see Figure 4 ;
[0092] In the second step, the computer preprocesses the spectral image
[0093] The image processing software Photoshop under Windows is used to preprocess the spectral image obtained in the first step to complete individual noise removal and improve image clarity;
[0094] In the third step, the computer identifies the abscissa, ordinate and spectral curve in the spectral image, and extracts the spectral data from the spectral image
[0095] With embodiment 1.
[0096] In the fourth step, the computer displays the spectral data and draws the extracted data into a spectral curve
[0097] Use the computer to display the spectral data extracted from the spectral image in the third ...
Embodiment 3
[0122] The first step, spectral image acquisition and digital processing
[0123] The source of the collected spectral image is the photo in the manual of ANDO Optical Spectrum Analyzer AQ-6315. The output picture of the spectrometer is the spectral photo of the LED output taken by the Sony DSC-V1 digital camera. See Figure 6 , the original picture is small, and the coordinate numbers in the picture are blurred, but the coordinate axes, coordinate units and curves can still be clearly distinguished;
[0124] In the second step, the computer preprocesses the spectral image
[0125] The image processing software Microsoft Office Picture Manager under Windows is used to preprocess the spectral image obtained in the first step to complete individual noise removal and improve image clarity;
[0126] In the third step, the computer identifies the abscissa, ordinate and spectral curve in the spectral image, and extracts the spectral data from the spectral image
[0127] With embod...
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