Color identification in images
    31.
    发明授权

    公开(公告)号:US10692245B2

    公开(公告)日:2020-06-23

    申请号:US16022322

    申请日:2018-06-28

    Applicant: Datacolor Inc.

    Abstract: A method is provided for identifying colors across illuminants using a processor configured by code executing therein, the method comprising capturing a sample image with an image recording device, the image including pixels representing a color sample under analysis and a color reference chart. The processor is also configured to execute comparing the color values of pixels representing the color reference chart of the sample image to the pixel values corresponding to a plurality of entries within a plurality of color reference datasets to determine the dataset representing the closest match of the illumination present at the time the sample image was captured. Using the identified illuminant, the color reference dataset having the closest illuminant is searched for the color under analysis.

    COLOR IDENTIFICATION IN IMAGES
    32.
    发明申请

    公开(公告)号:US20190019313A1

    公开(公告)日:2019-01-17

    申请号:US16022322

    申请日:2018-06-28

    Applicant: Datacolor Inc.

    CPC classification number: G06T7/90 G06T2207/10024

    Abstract: A method is provided for identifying colors across illuminants using a processor configured by code executing therein, the method comprising capturing a sample image with an image recording device, the image including pixels representing a color sample under analysis and a color reference chart. The processor is also configured to execute comparing the color values of pixels representing the color reference chart of the sample image to the pixel values corresponding to a plurality of entries within a plurality of color reference datasets to determine the dataset representing the closest match of the illumination present at the time the sample image was captured. Using the identified illuminant, the color reference dataset having the closest illuminant is searched for the color under analysis.

    SYSTEM AND APPARATUS FOR MEASUREMENT OF LIGHT SCATTERING FROM A SAMPLE
    34.
    发明申请
    SYSTEM AND APPARATUS FOR MEASUREMENT OF LIGHT SCATTERING FROM A SAMPLE 有权
    用于从样品测量光散射的系统和装置

    公开(公告)号:US20130293897A1

    公开(公告)日:2013-11-07

    申请号:US13874956

    申请日:2013-05-01

    Inventor: Zhiling Xu

    CPC classification number: G01N21/4738 G01N21/55 G01N21/57

    Abstract: An apparatus and method for providing a solution that enables technicians or other technical professionals to obtain accurate gloss, haze and DOI values for a reflecting sample due to the surface conditions of the sample. The apparatus and method allow for the generation of a data model of the surface of a sample using a sensor array designed to detect the divergence of a collimated beam of light reflected off the surface of the sample. The same principle enables technical professionals to obtain accurate haze and clarity values for a transparent or translucent sample that is trans-illuminated by light.

    Abstract translation: 一种用于提供解决方案的装置和方法,其使得技术人员或其他技术专业人员能够由于样品的表面条件而获得反射样品的准确的光泽度,雾度和DOI值。 该装置和方法允许使用设计用于检测从样品表面反射的准直光束的发散度的传感器阵列产生样品表面的数据模型。 相同的原理使得技术专业人员能够获得准确的雾度和透明度值,用于通过光反射照射的透明或半透明样品。

    Matching two color measurement devices using artificial neural network

    公开(公告)号:US11922662B2

    公开(公告)日:2024-03-05

    申请号:US17087279

    申请日:2020-11-02

    Applicant: DATACOLOR INC.

    Inventor: Hong Wei

    Abstract: In one or more implementations, the apparatus, systems and methods disclosed herein are directed to configuring a color measurement device to output color measurements that match the expected output of a different color measurement device. In a particular implementation, a method is provided for matching the color measurements made by a color measurement device to the color measurements made by a target color measurement device by implementing a single step color calibration and conversion process using an Artificial Neural Network (ANN). By way of non-limiting example, the raw counts from the color measurement device is converted to a specific color space, such as L*a*b, directly through an ANN. Such ANN is trained to ensure the output of the color measurement from the color measurement device will match with the output of the color measurement from a target color measurement device.

    System and method to calibrate color measurement devices

    公开(公告)号:US11733099B2

    公开(公告)日:2023-08-22

    申请号:US16668879

    申请日:2019-10-30

    Applicant: DATACOLOR INC.

    Inventor: Zhiling Xu

    Abstract: A system including a processor and a memory configured to store code executed by the processor is provided. In one or more implementations, the processor is configured by the code to calibrate measurements made by color measurement devices. In one particular implementation, the processor receives a measurement dataset of one or more color values, for a sample obtained by a color measurement device. The processor is configured to convert the measurement dataset to a standard space measurement dataset using a standard space measurement model and calculate a color dataset based on the standard space measurement dataset using a color conversion model. The processor is further configured to output the calculated color dataset to at least one of a display, database or local memory store.

    MATCHING TWO COLOR MEASUREMENT DEVICES USING ARTIFICIAL NEURAL NETWORK

    公开(公告)号:US20220138986A1

    公开(公告)日:2022-05-05

    申请号:US17087279

    申请日:2020-11-02

    Applicant: DATACOLOR INC.

    Inventor: Hong Wei

    Abstract: In one or more implementations, the apparatus, systems and methods disclosed herein are directed to configuring a color measurement device to output color measurements that match the expected output of a different color measurement device. In a particular implementation, a method is provided for matching the color measurements made by a color measurement device to the color measurements made by a target color measurement device by implementing a single step color calibration and conversion process using an Artificial Neural Network (ANN). By way of non-limiting example, the raw counts from the color measurement device is converted to a specific color space, such as L*a*b, directly through an ANN. Such ANN is trained to ensure the output of the color measurement from the color measurement device will match with the output of the color measurement from a target color measurement device.

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