Streak detection in mottled and noisy images
نویسندگان
چکیده
bstract. We describe a method for automatically detecting treaks in printed images using adaptive window-based image proections and mutual information. The proposed approach accepts a canned image enclosing the defect and computes the projections cross the entire image at different window sizes. The resulting races collected from the projections are analyzed with a peak deection algorithm and subsequently correlated using normalized muual information to pinpoint the location and width of streak(s). Fially, for a given peak, the window size is changed adaptively to dentify and locate the intensity and length of the corresponding treak(s) while maximizing the signal-to-noise ratio. Results on synhetic and real-life images are provided to demonstrate the effectiveess of our proposed technique. © 2007 SPIE and IS&T. DOI: 10.1117/1.2816444
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عنوان ژورنال:
- J. Electronic Imaging
دوره 16 شماره
صفحات -
تاریخ انتشار 2007