Influences of Color Spaces on Printing Defect Classification
This paper aims at exploring how spectral variation of illumination influences the classification accuracy of print defects in different color spaces, when the color camera is unable to adapt to varying illumination. Spectral variation is achieved through simulated transformation of correlated color temperature of illumination of the test images. The percentile features are used to detect the possible defective areas on printing matter surfaces. Results are demonstrated that the original RGB color space is the best color space under varying illumination, the XYZ and CIELuv spaces being also very promising. An interesting observation is that features from some of the color spaces perform worse than features obtained from grey-level images.
Illumination Color Spaces Spectral Stability Printing Defect Inspection
Xie Yong Wang Yaonan Peng Tao
College of Electrical and Information Engineering, Hunan University, Changsha, 410007, China College College of Electrical and Information Engineering, Hunan University, Changsha, 410007, China College of Packaging and Printing, Hunan University of Technology, Zhuzhou, 412008, China
国际会议
2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)
广西桂林
英文
3354-3357
2009-06-17（万方平台首次上网日期，不代表论文的发表时间）