A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
A new method for image segmentation
Computer Vision, Graphics, and Image Processing
Evaluation of Binarization Methods for Document Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Introduction to Digital Image Processing
An Introduction to Digital Image Processing
Multi-Window Binarization of Camera Image for Document Recognition
IWFHR '04 Proceedings of the Ninth International Workshop on Frontiers in Handwriting Recognition
Adaptive degraded document image binarization
Pattern Recognition
A novel illumination-balance technique for improving the quality of degraded text-photo images
IEEE Transactions on Circuits and Systems for Video Technology
RII: Renovating the irregular illumination of digital image archives
Journal of Visual Communication and Image Representation
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This paper presents a document image thresholding technique that binarizes badly illuminated document images by the photometric correction. Based on the observation that illumination normally varies smoothly and document images often contain a uniformly colored background, the global shading variation is estimated by using a two-dimensional Savitzky-Golay filter that fits a least square polynomial surface to the luminance of a badly illuminated document image. With the knowledge of the global shading variation, shading degradation is then corrected through a compensation process that produces animage with roughly uniform illumination. Badly illuminated document images are accordingly binarized through the global thresholding of the compensated ones. Experiments show that the proposed thresholding technique is fast, robust, and efficient for the binarization of badly illuminated document images.