Otsu's binarization method is one of the most popular image-thresholding methods; Student's t -test is one of the most widely-used statistical tests to compare two groups. This paper aims to stress the equivalence between Otsu's binarization method and the search for an optimal threshold that provides the largest absolute Student's t-statistic. It is then naturally demonstrated that the extensi...

0167-8655/$ see front matter 2010 Elsevier B.V. A doi:10.1016/j.patrec.2010.04.003 * Corresponding author. Tel.: +33 0 3 29 53 60 41; E-mail addresses: [email protected] (B. Naege paris5.fr (L. Wendling). An original binarization method based on connected operators is proposed in this paper. Connected operators enable to filter and/or segment an image by preserving its contours. The propos...

Several algorithms have previously been proposed for improving the thresholding of degraded document images. No algorithm can solve all types of problems, but some algorithms are better than others for specific situations. This article reviews global binarization algorithms for improving degraded document images, thus indicating their differences and similarities, and also their advantages and ...

In this chapter, a binarization technique specifically designed for historical document images is presented. Existing binarization techniques focus either on finding an appropriate global threshold or adapting a local threshold for each area in order to remove smear, strains, uneven illumination etc. Here, a hybrid approach is presented that first applies a global thresholding technique and, th...

We propose a novel method for binarization of color documents whereby the foreground text is output as black and the background as white regardless of the polarity of foreground-background shades. The method employs an edge-based connected component approach and automatically determines a threshold for each component. It has several advantages over existing binarization methods. Firstly, it can...

Image binarization is a diicult task for documents with text over textured or shaded backgrounds, poor contrast, and/or considerable noise. Current optical character recognition (OCR) and document analysis technology do not handle such documents well. We have developed a simple yet eeective algorithm for document image clean-up and binarization. The algorithm consists of two basic steps. In the...

This article concerns the analysis of corneal endothelial image. The basic problems of binarization and segmentation of these images are discussed. Preprocessing methods are proposed, consisting of median and convolution filtration, to remove noise. An algorithm of normalization of the average brightness of the vertical and horizontal is presented. The problem of binarization is discussed. At t...

Computation of document image quality metrics often depends upon the availability of a ground truth image corresponding to the document. This limits the applicability of quality metrics in applications such as hyperparameter optimization of image processing algorithms that operate on-the-fly on unseen documents. This work proposes the use of surrogate models to learn the behavior of a given doc...

Binarization method is the key process to restore degraded historical document image. In this paper, the framework for degraded Thai historical document image restoration is proposed. The proposed framework consists of three stage including image filtering stage, local-based thresholding stage, and cluster analysis stage. Image filtering stage aims to eliminate some noises by using Wiener filte...