1 October 2007 Streak detection in mottled and noisy images
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Abstract
We describe a method for automatically detecting streaks in printed images using adaptive window-based image projections and mutual information. The proposed approach accepts a scanned image enclosing the defect and computes the projections across the entire image at different window sizes. The resulting traces collected from the projections are analyzed with a peak detection algorithm and subsequently correlated using normalized mutual information to pinpoint the location and width of streak(s). Finally, for a given peak, the window size is changed adaptively to identify and locate the intensity and length of the corresponding streak(s) while maximizing the signal-to-noise ratio. Results on synthetic and real-life images are provided to demonstrate the effectiveness of our proposed technique.
© (2007) Society of Photo-Optical Instrumentation Engineers (SPIE)
Hector Santos Rosario, Eli Saber, Wencheng Wu, Kartheek Chandu, "Streak detection in mottled and noisy images," Journal of Electronic Imaging 16(4), 043005 (1 October 2007). https://doi.org/10.1117/1.2816444 . Submission:
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