A survey of thresholding techniques
Computer Vision, Graphics, and Image Processing
Moment-preserving thresholding: a new approach
Document image analysis
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
Goal-Directed Evaluation of Binarization Methods
IEEE Transactions on Pattern Analysis and Machine Intelligence
Adaptive degraded document image binarization
Pattern Recognition
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We propose a novel background and foreground estimation algorithm in MAP-MRF approach for binarization of degraded document image. In the proposed algorithm, an assumption that background whiteness and foreground blackness is not employed differently from the conventional algorithm, and we employ characters' irregularities based on local statistics. This makes the method possible to apply to the image with various colored characters, ex. outlined characters by colored background. Experimental results show that the proposed method achieves promising results.