A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Spatial Thresholding Method for Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Improvement of Kittler and Illingworth's minimum error thresholding
Pattern Recognition
Improvement of “integrated function algorithm” for binarization of document images
Pattern Recognition Letters
Algorithms for Image Processing and Computer Vision
Algorithms for Image Processing and Computer Vision
Multi-scale binarization of images
Pattern Recognition Letters
Binarization of Document Images Using Hadamard Multiresolution Analysis
ICDAR '99 Proceedings of the Fifth International Conference on Document Analysis and Recognition
Dynamic Measurement of Computer Generated Image Segmentations
IEEE Transactions on Pattern Analysis and Machine Intelligence
A multi-scale framework for adaptive binarization of degraded document images
Pattern Recognition
A document binarization method based on connected operators
Pattern Recognition Letters
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In this paper, a new approach to binarize grey-level document images is proposed. The method combines a global and a local approaches. First, we provide the edges of the image, and next, from the edges we make a quadtree decomposition of the image. On each area of the image, a local threshold is computed and applied to all the pixels belonging to the region under consideration.