KEYWORDS: Principal component analysis, Printing, Defect detection, Distortion, Control systems, Image transmission, Image processing, Image restoration, Automatic control, Process control
Real-time detecting print-defect system is significant for automatically quality control in printing industry. The state-of-the-art
detecting algorithms are based on conventional template matching process and usually suffer from false alarm caused
by acceptable variations. This paper proposes a novel on-line print-defect detecting approach which uses incremental
principal component analysis to model a variety pattern with respect to the detected image itself. The algorithm is
constructed and deployed to a real-time detecting print-defect system, and the test results show that the system reduces
false alarm dramatically.
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