컬러 선택 방법
    281.
    发明公开
    컬러 선택 방법 无效
    颜色选择方法

    公开(公告)号:KR1020050084896A

    公开(公告)日:2005-08-29

    申请号:KR1020057007525

    申请日:2003-10-15

    CPC classification number: G01J3/46 G01J3/463 Y10S707/99933 Y10S707/99936

    Abstract: The present invention is directed to a color selection method, which includes the steps of selecting colors in accordance with identification criteria supplied, for example, by a vehicle manufacturer; displaying the colors in the form of color reference chips on the screen of a display unit attached to a computer; selecting a desired color chip from the color reference chips on the screen; accessing and displaying color formulas; and then finally selecting a desired color formula that lists all the ingredients needed to prepare a coating composition, such as automotive refinish paint or architectural paint, from the color formulas displayed on the screen. The technician can then mix the ingredients, such as tints, in the proportions provided in the desired color formula to make the coating composition. If desired, the method further includes sending the desired color formula to a weighing scale or a tint dispenser attached to the computer so that the ingredients listed in the desired formula can be weighed or dispensed automatically.

    Abstract translation: 本发明涉及一种颜色选择方法,其包括根据例如由车辆制造商提供的识别标准来选择颜色的步骤; 在连接到计算机的显示单元的屏幕上显示颜色参考芯片形式的颜色; 从屏幕上的颜色参考芯片中选择所需的颜色芯片; 访问和显示颜色公式; 然后最终从显示在屏幕上的颜色公式中选择所需的颜色公式,其中列出了准备涂料组合物所需的所有成分,如汽车修补漆或建筑涂料。 然后,技术人员可以以所需颜色配方中提供的比例混合成分,如着色剂,以制成涂料组合物。 如果需要,该方法还包括将所需的颜色公式发送到连接到计算机的称重秤或着色分配器,使得可以自动称重或分配所需配方中列出的成分。

    차량상의 페인트 매칭을 위한 컴퓨터 구현 방법과 페인트매칭을 위한 시스템
    283.
    发明授权
    차량상의 페인트 매칭을 위한 컴퓨터 구현 방법과 페인트매칭을 위한 시스템 失效
    计算机实现方法和装置用于匹配涂料

    公开(公告)号:KR100486987B1

    公开(公告)日:2005-05-03

    申请号:KR1020027007786

    申请日:2000-12-15

    Abstract: 차량상의 페인트 매칭을 위한 컴퓨터 구현 방법은 원격 단말 장치로부터 특정 차량(vehicle)과 관련있는 차량 식별 정보와 차량의 일부 차체로부터 제 1 페인트 칼러 데이터 세트를 중앙 컴퓨터에서 수신하는 단계를 갖는다. 중앙 컴퓨터는, 복수의 차량에 대한 차량 식별 정보를 가지고 있고 페인트 칼러 데이터와 그들의 페인트 포뮬레이션과 관련된 데이터 베이스를 구비하고 있다. 제 1 프로세스는 제출된(submitted) 차량 식별 정보와 제출된 페인트 데이타를 페인트 포뮬레이션에 관련시키는 제 1 최상 매치 페인트 포뮬레이션을 결정한다. 후자는 원격 단말 장치에 전송된다. 중앙 컴퓨터는 제 1 최적 페인트 포뮬레이션으로 도색된 특정 차량의 표면을 나타내는 원격 단말 장치로부터 제 2 페인트 칼러 데이터를 수신하고 정확도 데이터(accuracy data)를 설정하기 위해 제 2 페인트 칼러 데이터를 제 2 프로세스를 이용해 제 1 페인트 칼러 데이터와 비교한다. 후속 페인트 포뮬레이션 식별에서 구현될 수 있도록 정확도 데이터가 제 1 프로세스에 적용된다.

    컴퓨터 조색장치 및 이 장치를 이용한 도료의 조색방법
    285.
    发明公开
    컴퓨터 조색장치 및 이 장치를 이용한 도료의 조색방법 失效
    计算机辅助颜色匹配设备和使用设备涂色的颜色匹配方法

    公开(公告)号:KR1020010078213A

    公开(公告)日:2001-08-20

    申请号:KR1020010004596

    申请日:2001-01-31

    Abstract: PURPOSE: To provide a computer-aided color matching method, in which coating can be color- matched with high accuracy even with reference to the coating having a light brilliant feeling. CONSTITUTION: The computer-aided color matching apparatus is constituted of (A) a colorimeter. The apparatus is constituted of (B) a microscopic light-brilliant sense measuring device. The apparatus is constituted of (C) a plurality of coating mixtures, the apparatus is constituted of a computer, in which color data and microscopic light-brilliant sense data corresponding to the respective coating mixture as well as color characteristic data and microscopic light- brilliant sense data on a plurality of primary-color coatings are registered and by which a color matching calculation logic is operated. The computer-aided color matching method for the coating, having light brilliant sense performs (1) a process, in which a paint film or a reference color is measured by the colorimeter and which obtains color data on the reference color. The method performs (2) a process, in which the paint film in the reference color, is measured by the microscopic light-brilliant sense measuring device and which obtains the microscopic light brilliant feeling data on the reference color. The method performs (3) a process, in which the color data and the microscopic light-brilliant sense data on the reference color are compared with the color data and the microscopic light-brilliant sense data registered in advance and which selects a candidate coating mixture.

    Abstract translation: 目的:提供一种计算机辅助色彩匹配方法,即使参照具有明亮感的涂层,涂层可以高精度地进行色彩匹配。 构成:计算机辅助色彩匹配装置由(A)色度计构成。 该装置由(B)微观光亮度测量装置构成。 该装置由(C)多种涂料混合物构成,该装置由计算机构成,其中与各涂料混合物相对应的颜色数据和显微光亮度数据以及颜色特征数据和显微光亮度 注册多个原色涂层上的感测数据,并通过该数据运行颜色匹配计算逻辑。 具有光辉度的涂层的计算机辅助颜色匹配方法执行(1)通过色度计测量涂膜或参考颜色并且获得关于参考颜色的颜色数据的处理。 该方法执行(2)通过微观光亮度测量装置测量参考颜色的涂膜的处理,并获得关于参考颜色的微观光辉度感觉数据。 该方法执行(3)将颜色数据和参考颜色上的微观光亮度数据与预先登记的颜色数据和微观亮度感测数据进行比较并选择候选涂层混合物的处理 。

    APPARATUS AND METHOD FOR EFFECT PIGMENT IDENTIFICATION
    287.
    发明申请
    APPARATUS AND METHOD FOR EFFECT PIGMENT IDENTIFICATION 审中-公开
    用于有效颜料识别的装置和方法

    公开(公告)号:WO2018041727A1

    公开(公告)日:2018-03-08

    申请号:PCT/EP2017/071395

    申请日:2017-08-25

    CPC classification number: G01J3/463 G01J3/504

    Abstract: A computer-implemented method for identifying an effect pigment, the method comprising executing, on at least one processor of at least one computer, steps of: a) acquiring sample image data describing a digital image of a layer comprising a sample effect pigment b) determining, based on the sample image data, sparkle point data describing a sample distribution of sparkle points defined by the digital image, wherein the sample distribution is defined in an N-dimensional color space, wherein N is an integer value equal to or larger than 3; c) determining, based on the sparkle point data, sparkle point transformation data describing a transformation of the sample distribution into an (N-1)-dimensional color space; d) determining, based on the sparkle point transformation data, sparkle point distribution geometry data describing a geometry of the sample distribution; e) acquiring reference distribution geometry data describing a geometry of a reference distribution of sparkle points in the (N-1)-dimensional color space; f) acquiring reference distribution association data describing an association between the reference distribution and an identifier of the reference distribution; g) determining, based on the sparkle point distribution geometry data and the reference distribution geometry data and the reference distribution association data, sample pigment identity data describing an identity of the sample effect pigment.

    Abstract translation: 一种用于识别效果颜料的计算机实现的方法,所述方法包括在至少一个计算机的至少一个处理器上执行以下步骤:a)获取描述图像的数字图像的采样图像数据, b)基于所述样本图像数据确定描述由所述数字图像定义的闪烁点的样本分布的闪光点数据,其中所述样本分布在N维色彩空间中定义,其中N是 等于或大于3的整数值; c)基于闪点数据确定描述样本分布向(N-1)维颜色空间的变换的闪烁点变换数据; d)基于闪点变换数据确定描述样本分布的几何形状的闪光点分布几何数据; e)获取描述(N-1)维颜色空间中闪烁点的参考分布的几何结构的参考分布几何数据; f)获取描述参考分布与参考分布的标识符之间的关联的参考分布关联数据; g)基于闪点分布几何数据和参考分布几何数据以及参考分布关联数据,确定描述样品效应颜料的身份的样品颜料身份数据。

    COLOR AND TEXTURE MATCH RATINGS FOR OPTIMAL MATCH SELECTION
    288.
    发明申请
    COLOR AND TEXTURE MATCH RATINGS FOR OPTIMAL MATCH SELECTION 审中-公开
    颜色和纹理匹配评级为最佳匹配选择

    公开(公告)号:WO2017143278A1

    公开(公告)日:2017-08-24

    申请号:PCT/US2017/018497

    申请日:2017-02-17

    Abstract: A computerized method for displaying matches of a paint sample to various proposed paint coatings includes receiving one or more coating texture variables of a target coating from a coating-measurement instrument. The method also includes displaying, on a digital display device, effect texture ratings for multiple respective proposed coating matches on a digital display device, wherein the effect texture ratings indicate a similarity between the one or more coating texture variables of the target coating and respective coating textures variables of each of the respective proposed coating matches. In addition, the method includes ordering the proposed coating matches, wherein the ordering indicates a strength in similarity between the target coating and each of the proposed coating matches with respect to the effect texture ratings.

    Abstract translation: 用于显示漆样品与各种提议的漆涂层的匹配的计算机化的方法包括从涂层测量仪器接收一个或多个目标涂层的涂层结构变量。 该方法还包括在数字显示装置上显示数字显示装置上的多个相应的建议涂层匹配的效果纹理评级,其中效果纹理评级指示目标涂层的一个或多个涂层纹理变量与相应涂层之间的相似性 对各个提议的涂层匹配中的每一个进行纹理变量。 此外,该方法包括排序所提出的涂料匹配,其中排序表示目标涂料与每个提出的涂料匹配关于效果质地评级的相似性强度。

    SIMPLIFIED TEXTURE COMPARISON ENGINE
    289.
    发明申请
    SIMPLIFIED TEXTURE COMPARISON ENGINE 审中-公开
    简化的纹理比较引擎

    公开(公告)号:WO2017143165A1

    公开(公告)日:2017-08-24

    申请号:PCT/US2017/018336

    申请日:2017-02-17

    Inventor: NEISEN, Penny

    Abstract: A method for calculating a coating textures indicator can comprise receiving target coating texture variables from an image. The method can also comprise accessing a relative texture characteristic database that stores a set of texture characteristic relationships for a plurality of coatings. The method can further comprise calculating a correlation between the target coating texture variables and target coating texture variables associated with a compared coating. Based upon the calculated correlation, the method can comprise, calculating a set of relative texture characteristics for the target coating that indicate relative differences in texture between the target coating and the compared coating. Each of the relative texture characteristics can comprise an assessment over all angles of the target coating.

    Abstract translation: 用于计算涂层纹理指标的方法可以包括从图像接收目标涂层纹理变量。 该方法还可以包括访问存储用于多个涂层的一组纹理特征关系的相对纹理特征数据库。 该方法可以进一步包括计算目标涂层结构变量和与被比较的涂层相关的目标涂层结构变量之间的相关性。 基于所计算的相关性,所述方法可以包括计算目标涂层的一组相对纹理特征,其指示目标涂层和所比较涂层之间的纹理的相对差异。 每个相对纹理特征可以包括对目标涂层的所有角度的评估。

    補修用塗料の調色装置及び調色方法
    290.
    发明申请
    補修用塗料の調色装置及び調色方法 审中-公开
    彩色匹配设备和彩色匹配方法

    公开(公告)号:WO2016194799A1

    公开(公告)日:2016-12-08

    申请号:PCT/JP2016/065686

    申请日:2016-05-27

    Inventor: 上野 信

    CPC classification number: G01J3/463 B05D5/005 C09D7/80 G01J3/46 G01J2003/467

    Abstract: 主に自動車修理工場において、従来、経験と勘により行われてきた調色作業を十分に支援することが可能な補修用塗料の調色装置及び調色方法を提供する。この補修用塗料の調色装置及び調色方法は、塗装対象部の測色データと、塗板の測色データとの誤差を座標軸ごとに計算し(S3)、座標軸ごとに、誤差を減らす方向に作用する特性情報を有する配合塗料を調色候補として検索し(S5)、塗装対象部の塗装に用いる補修用塗料の分量に対応する調色候補の基本量を計算し(S7)、前記誤差を測色データに対応する基準値で割ることにより座標軸ごとに誤差率を計算し(S8)、調色候補の基本量と誤差率とを掛け合わせることにより、調色候補ごとの調色量を算出する(S10)

    Abstract translation: 本发明提供一种能够充分协助色彩匹配操作的彩色匹配装置和色彩匹配方法,该色彩匹配操作主要在自动维修店中使用经验和直觉常规地执行。 用于上光油漆的配色设备和颜色匹配方法包括:计算每个坐标轴上待涂漆部分的测量颜色数据和涂漆纸的测量颜色数据之间的误差(S3); 针对每个坐标轴搜索具有用于减小误差的特征信息作为颜色匹配候选的复合涂料(S5); 计算与用于涂漆所述涂漆部分的上漆的量对应的所述颜色匹配候选者的基准量(S7); 通过将误差除以对应于测量的颜色数据的参考值来计算每个坐标轴的误差比(S8); 并且将所述匹配候选者的基数乘以所述误差比,以计算每个匹配候选者的颜色匹配量(S10)。

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