NDLI: Efficient computation of adaptive threshold surfaces for image binarization

Content Provider	IEEE Xplore Digital Library
Author	Blayvas, I. Bruckstein, A. Kimmel, R.
Copyright Year	2001
Description	Author affiliation: Dept. of Comput. Sci., Technion-Israel Inst. of Technol., Haifa, Israel (Blayvas, I.; Bruckstein, A.; Kimmel, R.)
Abstract	The problem of binarization of gray level images acquired under nonuniform illumination is reconsidered. Yanowitz and Bruckstein (1989) proposed to use an adaptive threshold surface, determined by interpolation of the image gray levels at points where the image gradient is high. The rationale is that a high image gradient indicates probable object edges, and there the image values are between the object and background gray levels. The threshold surface was determined by successive overrelaxation as the solution of the Laplace equation. This work proposes a different method to determine an adaptive threshold surface. In this new method, inspired by multiresolution approximation, the threshold surface is constructed with considerably lower computational complexity and is smooth, yielding faster image binarizations and better visual performance.
Sponsorship	IEEE Comput. Soc. Tech. Committee on Pattern Analysis & Machine Intelligence
File Size	638031
File Format	PDF
ISBN	0769512720
ISSN	10636919
DOI	10.1109/CVPR.2001.990549
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2001-12-08
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Laplace equations Lighting Computational complexity Pixel Computer science Interpolation Relaxation methods Degradation Surface waves
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition Software

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