Design and implementation of automatic color information collection system

Wenjie Ci; Kai Xie; Tong Li

doi:10.1117/12.2205453

14 December 2015 Design and implementation of automatic color information collection system

Wenjie Ci, Kai Xie, Tong Li

Proceedings Volume 9815, MIPPR 2015: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications; 98151N (2015) https://doi.org/10.1117/12.2205453
Event: Ninth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2015), 2015, Enshi, China

Abstract

In liquid crystal display (LCD) colorimetric characterization, it needs to convert RGB the device-dependent color space to CIEXYZ or CIELab the device-independent color space. Namely establishing the relationship between RGB and CIE using the data of device color and the corresponding data of CIE. Thus a color automatic message acquisition software is designed. We use openGL to fulfill the full screen display function, write c++ program and call the Eyeone equipment library functions to accomplish the equipment calibration, set the sample types, and realize functions such as sampling and preservation. The software can drive monitors or projectors display the set of sample colors automatically and collect the corresponding CIE values. The sample color of RGB values and the acquisition of CIE values can be stored in a text document, which is convenient for future extraction and analysis. Taking the cubic polynomial as an example, each channel is sampled of 17 sets using this system. And 100 sets of test data are also sampled. Using the least square method we can get the model. The average of color differences are around 2.4874, which is much lower than the CIE2000 commonly required level of 6.00.The successful implementation of the system saves the time of sample color data acquisition, and improves the efficiency of LCD colorimetric characterization.

Citation Download Citation

Wenjie Ci, Kai Xie, and Tong Li "Design and implementation of automatic color information collection system", Proc. SPIE 9815, MIPPR 2015: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 98151N (14 December 2015); https://doi.org/10.1117/12.2205453

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KEYWORDS

RGB color model

Data modeling

LCDs

Statistical modeling

Calibration

Statistical analysis

Eye models

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