1 October 2007 Streak detection in mottled and noisy images
Author Affiliations +
J. of Electronic Imaging, 16(4), 043005 (2007). doi:10.1117/1.2816444
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.
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). http://dx.doi.org/10.1117/1.2816444
JOURNAL ARTICLE
14 PAGES


SHARE
KEYWORDS
Signal to noise ratio

Halftones

Image filtering

Detection and tracking algorithms

Image processing

Linear filtering

Optical inspection

Back to Top