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|Title: ||An investigation into noise-bound shadow detection and removal|
|Author: ||Irie, Kenji|
McKinnon, Alan E.
Woodhead, Ian M.
|Date: ||Nov-2008 |
|Citation: ||Irie, K., McKinnon, A. E., Unsworth, K., & Woodhead, I. M. (2008). An investigation into noise-bound shadow detection and removal. In K. Irie & D. Pairman (Eds.), 2008 23rd International Conference Image and Vision Computing New Zealand: IVCNZ, Christchurch, New Zealand, 26-28 November 2008. Piscataway, NJ: IEEE.|
|Item Type: ||Conference Contribution - Paper in Published Proceedings|
|Abstract: ||Noise is an unavoidable contaminant in any non-trivial image. It is usually identified as a limiting factor in the performance of shadow-removal algorithms, but little is done to reduce its negative impact. The typical method to counter noise effects is to employ arbitrary or empirical thresholds somewhere inside the algorithm, with values chosen to maximize the shadow-removal performance. However these thresholds can be objectively calculated from the noise statistics for a particular pixel value. We present a method of shadow-removal whose
internal parameters are adaptively set by noise statistics such that the algorithm is free of any empirically set threshold. Experiments indicate that the performance of the new method is approximately equivalent to that with an empirically-fixed threshold, though an area of improvement has been identified that could significantly boost the accuracy of the new method.|
|Persistent URL (URI): ||http://hdl.handle.net/10182/2047|
|Related: ||Originally published online at IEEE Xplore.|
|Related URI: ||http://dx.doi.org/10.1109/IVCNZ.2008.4762070|
|Rights: ||© 2008 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.|
|Appears in Collections:||Lincoln Ventures|
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