Invention Grant
US08392347B2 Coating color database creating method, search method using the database, their system, program, and recording medium
失效
涂料颜色数据库创建方法,使用数据库的搜索方法,其系统,程序和记录介质
- Patent Title: Coating color database creating method, search method using the database, their system, program, and recording medium
- Patent Title (中): 涂料颜色数据库创建方法,使用数据库的搜索方法,其系统,程序和记录介质
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Application No.: US12663364Application Date: 2008-06-19
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Publication No.: US08392347B2Publication Date: 2013-03-05
- Inventor: Tsukasa Fujieda , Keisuke Sai , Yutaka Masuda
- Applicant: Tsukasa Fujieda , Keisuke Sai , Yutaka Masuda
- Applicant Address: JP Hyogo
- Assignee: Kansai Paint Co., Ltd.
- Current Assignee: Kansai Paint Co., Ltd.
- Current Assignee Address: JP Hyogo
- Agency: Wenderoth, Lind & Ponack, L.L.P.
- Priority: JP2007-162509 20070620
- International Application: PCT/JP2008/061254 WO 20080619
- International Announcement: WO2008/156147 WO 20081224
- Main IPC: G06F15/18
- IPC: G06F15/18 ; C23C16/52

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. The method for creating a database includes a step (S11) for storing spectral reflectance data and micro-brilliance data of a plurality of paint colors after associating each spectral reflectance data and each micro-brilliance data with a paint color code; a step (S13) for storing texture evaluation values of sample paint colors after associating the each texture evaluation value with the paint color code; a step (S14) 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 after associating the each characteristic quantity with the paint color code; a step (S15) for carrying out a process for training a neural network using the characteristic quantities and the texture evaluation values of the sample paint colors as training data; and a step (S16) 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 after associating the each output data with the paint color code.
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