Coating color database creating method, search method using the database, their system, program, and recording medium

A method for creating a paint color database, comprising:

• a first step of storing spectral reflectance data of a plurality of paint colors in a recording unit after associating each spectral reflectance data with a code for specifying each paint color;
• a second step of storing color category evaluation values of sample paint colors selected from the plurality of paint colors in the recording unit after associating the each color category evaluation value with the code;
• a third step of calculating characteristic quantities of the paint colors expressing color categories using the spectral reflectance data, and storing the characteristic quantities in the recording unit after associating the each characteristic quantity with the code;
• a fourth step of carrying out a process for training a neural network having input units corresponding to the characteristic quantities and output units corresponding to the color category evaluation values, using the characteristic quantities and the color category evaluation values of the sample paint colors as training data;
• and
• a fifth step of inputting characteristic quantities of the paint colors other than the sample paint colors into the neural network after the training process, and storing output data in the recording unit after associating the each output data with the code.

A system for creating a paint color database, comprising:

• an arithmetic unit having a recording unit;
• a spectrophotometer;
• and
• an imaging device,
• wherein:
• the arithmetic unit measures spectral reflectance data for each of a plurality of paint colors using the spectrophotometer,
• the arithmetic unit obtains image data of the paint colors using the imaging device, and calculates micro-brilliance data expressing particle feeling of the paint colors from the image data,
• the arithmetic unit stores the spectral reflectance data and the micro-brilliance data of the paint colors in the recording unit after associating each spectral reflectance data and each micro-brilliance data with a code for specifying each paint color,
• the arithmetic unit stores texture evaluation values of sample paint colors selected from the paint colors in the recording unit after associating the each texture evaluation value with the code,
• the arithmetic unit calculates characteristic quantities of the paint colors expressing textures using the spectral reflectance data and the micro-brilliance data, and stores the characteristic quantities in the recording unit after associating the each characteristic quantity with the code,
• the arithmetic unit carries out a process for training a neural network having input units corresponding to the characteristic quantities and output units corresponding to the texture evaluation values, using the characteristic quantities and the texture evaluation values of the sample paint colors as training data;
• and
• the arithmetic unit inputs characteristic quantities of the paint colors other than the sample paint colors into the neural network after the training process, and stores output data in the recording unit after associating the each output data with the code.

A system for creating a paint color database, comprising:

• an arithmetic unit having a recording unit;
• and
• a spectrophotometer,
• wherein:
• the arithmetic unit measures spectral reflectance data for each of a plurality of paint colors using the spectrophotometer,
• the arithmetic unit stores the spectral reflectance data of the paint colors in the recording unit after associating each spectral reflectance data with a code for specifying each paint color,
• the arithmetic unit stores color category evaluation values of sample paint colors selected from the paint colors in the recording unit after associating the each color category evaluation value with the code,
• the arithmetic unit calculates characteristic quantities of the paint colors expressing color categories using the spectral reflectance data, and stores the characteristic quantities in the recording unit after associating the each characteristic quantity with the code,
• the arithmetic unit carries out a process for training a neural network having input units corresponding to the characteristic quantities and output units corresponding to the color category evaluation values, using the characteristic quantities and the color category evaluation values of the sample paint colors as training data;
• and
• the arithmetic unit inputs characteristic quantities of the paint colors other than the sample paint colors into the neural network after the training process, and stores output data in the recording unit after associating the each output data with the code.

A program for creating a paint color database by causing a computer to realize:

• a first function for storing spectral reflectance data and micro-brilliance data expressing particle feeling of a plurality of paint colors in a recording unit after associating each spectral reflectance data and each micro-brilliance data with a code for specifying each paint color;
• a second function for storing texture evaluation values of sample paint colors selected from the plurality of paint colors in the recording unit after associating the each texture evaluation value with the code;
• a third function for calculating characteristic quantities of the paint colors expressing textures using the spectral reflectance data and the micro-brilliance data, and storing the characteristic quantities in the recording unit after associating the each characteristic quantity with the code;
• a fourth function for carrying out a process for training a neural network having input units corresponding to the characteristic quantities and output units corresponding to the texture evaluation values, using the characteristic quantities and the texture evaluation values of the sample paint colors as training data;
• and
• a fifth function for inputting characteristic quantities of the paint colors other than the sample paint colors into the neural network after the training process, and storing output data in the recording unit after associating the each output data with the code.

A program for creating a paint color database by causing a computer to realize:

• a first function for storing spectral reflectance data of a plurality of paint colors in a recording unit after associating each spectral reflectance data with a code for specifying each paint color;
• a second function for storing color category evaluation values of sample paint colors selected from the plurality of paint colors in the recording unit after associating the each color category evaluation value with the code;
• a third function for calculating characteristic quantities of the paint colors expressing color categories using the spectral reflectance data, and storing the characteristic quantities in the recording unit after associating the each characteristic quantity with the code;
• a fourth function for carrying out a process for training a neural network having input units corresponding to the characteristic quantities and output units corresponding to the color category evaluation values, using the characteristic quantities and the color category evaluation values of the sample paint colors as training data;
• and
• a fifth function for inputting characteristic quantities of the paint colors other than the sample paint colors into the neural network after the training process, and storing output data in the recording unit after associating the each output data with the code.