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:
본 발명은 원하는 도색의 인상(印象)에 맞는 컴퓨터 그래픽 화상을 표시 장치에 표시하고, 표시된 상기 화상 상에 있어서 2 개소 이상의 지정된 영역에서의 표시색의 색 정보를 구하여, 미리 복수의 도색에 대한 색 정보를 저장한 데이터 베이스로부터 그 표시색의 색 정보에 근사한 색 정보를 갖는 도색을 검색하여 선택하는 것을 특징으로 하는 컴퓨터 그래픽 화상으로부터 도색을 특정한다.
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.
Abstract:
An image processing system which is applicable to, in this case, a dental treatment, and which images, when a patient' (59) denture is to be produced, the dental part of the patient (59) while a plurality of lighting LEDs respectively having different wavelengths are being emitted by an imaging device (1A) to capture image data. The image data is transmitted to a dental filing system (2A) serving as a treating device, where color reproduction data is determined by computing. The color reproduction data is further sent to a dental laboratory (55) over a public telephone line. In the laboratory, a porcelain blending ratio calculation database (56) is searched to obtain denture porcelain blending data that matches the hue of the dental part of the patient (59), whereby a denture very close in color to the patient' (59) teeth is produced.
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:
Systems and methods for color calibrating an image are described herein. In some embodiments, a method includes disposing a unique identifier and a fiducial marker that includes a plurality of color regions on an object. A first image of the object is captured with a first camera and a second image of the object that is captured with a second camera is received. The second image is associated with the first image based on the unique identifier and spectral information of at least a portion of the fiducial marker in the second image is compared with spectral information of at least the portion of the fiducial marker in the first image. Based on the comparison, the second image is resampled to substantially match at least the portion of the fiducial marker in the second image to at least the portion of the fiducial marker in the first image.
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:
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:
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.