Abstract: A method for creating a database for paint colors having a desired texture includes storing spectral reflectance data and micro-brilliance data of paint colors after associating each spectral reflectance data and each micro-brilliance data with a paint color code; storing texture evaluation values of sample paint colors after associating the each texture evaluation value with the paint color code; calculating characteristic quantities of the paint colors expressing textures using the spectral reflectance data and the micro-brilliance data, and storing the characteristic quantities after associating the each characteristic quantity with the paint color code; training a neural network using the characteristic quantities and the texture evaluation values of the sample paint colors as training data; and inputting characteristic quantities of the paint colors other than the sample paint colors into the neural network after the training, and storing output data after associating each output data with the paint colo

Abstract: There is provided a process for formation of a multi-layered coating film, which includes sequentially coating a first colored coating composition, a second colored coating composition and a clear coating composition (C), and simultaneously heating and curing the obtained first colored coating film, second colored coating film and clear coating film to form a multi-layered coating film, where the first colored coating composition contains (a1) a polyester resin containing a hydroxyl group, which contains 1.0-8.

Abstract: The subject invention provides a method of creating a database for searching for a paint color having a desired texture, a search method using the database, and systems, programs, and recording mediums for carrying out the method and the search.

Abstract: A method for creating a database for paint colors having a desired texture includes storing spectral reflectance data and micro-brilliance data of paint colors after associating each spectral reflectance data and each micro-brilliance data with a paint color code; storing texture evaluation values of sample paint colors after associating the each texture evaluation value with the paint color code; calculating characteristic quantities of the paint colors expressing textures using the spectral reflectance data and the micro-brilliance data, and storing the characteristic quantities after associating the each characteristic quantity with the paint color code; training a neural network using the characteristic quantities and the texture evaluation values of the sample paint colors as training data; and inputting characteristic quantities of the paint colors other than the sample paint colors into the neural network after the training, and storing output data after associating each output data with the paint colo

Abstract: A method including: determining at least three characteristic quantities, using a plurality of spectral reflectances measured at a plurality of light-receiving angles, for each of the plurality of paint colors; subjecting a data group including the at least three characteristic quantities to principal component analysis so as to determine a First Principal Component and Second Principal Component expressed as linear expressions, using the characteristic quantities; calculating values of the First Principal Component and Second Principal Component for the plurality of paint colors; and positioning the paint colors on a two-dimensional plane that has the First Principal Component and Second Principal Component as the two parameters and has values of the First Principal Component and Second Principal Component as coordinates.

Abstract: The method of identifying an effective pigment comprises: a first step of imaging a target effective pigment to obtain image data thereof; a second step of subjecting the obtained image data to background processing and extracting image data concerning a region containing one particle of the effective pigment as image data for processing; a third step of extracting image characteristic parameters from the image data for processing; and a fourth step of identifying the target effective pigment, based on the image characteristic parameters of the target effective pigment extracted in the third step, using a pre-prepared database that stores information on various kinds of effective pigments in such a manner as to correlate with the image characteristic parameters of various kinds of effective pigments extracted by conducting the second and third steps.

Abstract: There is provided a process for formation of a multi-layered coating film, which includes sequentially coating a first colored coating composition, a second colored coating composition and a clear coating composition (C), and simultaneously heating and curing the obtained first colored coating film, second colored coating film and clear coating film to form a multi-layered coating film, where the first colored coating composition contains (a1) a polyester resin containing a hydroxyl group, which contains 1.0-8.

Abstract: The subject invention provides a method of creating a database for searching for a paint color having a desired texture, a search method using the database, and systems, programs, and recording mediums for carrying out the method and the search.

Abstract: The present invention relates to a texture map of paint colors in which a plurality of paint colors are arranged to be able to identify their textures; and its production method, production program, production system and data structure.

Abstract: The method of identifying an effective pigment comprises: a first step of imaging a target effective pigment to obtain image data thereof; a second step of subjecting the obtained image data to background processing and extracting image data concerning a region containing one particle of the effective pigment as image data for processing; a third step of extracting image characteristic parameters from the image data for processing; and a fourth step of identifying the target effective pigment, based on the image characteristic parameters of the target effective pigment extracted in the third step, using a pre-prepared database that stores information on various kinds of effective pigments in such a manner as to correlate with the image characteristic parameters of various kinds of effective pigments extracted by conducting the second and third steps.