Adaptive Thresholding Using the Integral Image

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ConferenceJournal of Graphics Tools, 2007
AbstractImage thresholding is a common task in many computer vision and graphics applications. The goal of thresholding an image is to classify pixels as either “dark” or “light”. Adaptive thresholding is a form of thresholding that takes into account spatial variations in illumination. We present a technique for real-time adaptive thresholding using the integral image of the input. Our technique is an extension of a previous method. However, our solution is more robust to illumination changes in the image. Additionally, our method is simple and easy to implement. Our technique is suitable for processing live video streams at a real-time frame-rate, making it a valuable tool for interactive applications such as augmented reality. Source code is available online.
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AffiliationNRC Institute for Information Technology; National Research Council Canada
Peer reviewedNo
NRC number48816
NPARC number8913723
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Record identifier9d7b6e95-cb10-44b6-bf53-a23744752b27
Record created2009-04-22
Record modified2016-05-09
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