In digital image processing, binarization (two-level thresholding) is a commonly used technique for image segmentation. It is the process of converting a gray scale image to a binary image. Furthermore, binarization methods are divided into two groups as global binarization and locally adaptive binarization. A number of binarization techniques have been proposed over the years. Bernsen’s method...

one of the most fundamental features of digital image and the basic steps in image processing, analysis, pattern recognition and computer vision is the edge of an image where the preciseness and reliability of its results will affect directly on the comprehension machine system made objective world. several edge detectors have been developed in the past decades, although no single edge detector...

Image processing is a process of analysis and manipulation of digital images, which improves the quality of an image. Image binarization is a pre-processing step which improves the quality of the image. Image binarization is used to improve the image quality and it segment the pixel values into two categories; i.e. black pixel as foreground and white pixel as background. In this research work, ...

The restoration of a blurry or noisy image is commonly performed with a MAP estimator, which maximizes a posterior probability to reconstruct a clean image from a degraded image. A MAP estimator, when used with a sparse gradient image prior, reconstructs piecewise smooth images and typically removes textures that are important for visual realism. The three public datasets that were used in the ...

Technology has made significant strides in recent years, which accounts for how pervasive it is our daily lives. In order to address the fundamental issue with historical document preservation, namely their degeneration, this work suggests using new technology. The method built on pieces of artificial intelligence that can read writing from a page and recognize useful information, converting in...

Binarization is process to generate binary image from document image. Document image binarization has already under research from past many years, and many binarization algorithms have been proposed for different types of degraded document images. Document image Binarization is very popular to upgrade old handwritten and machine printed documents. Still to recover degraded document is very tedi...

In this paper, we present a phase-based binarization model for degraded document images, also a post processing method that can improve any binarization method and a ground truth generation tool. Usually, many binarization techniques are implemented in the literature for different types of binarization problems. It include an adaptive image contrast based document image binarization technique t...

Principal stage of the document image analysis procedure is the binarization, according to which the pixels are classified into text and background. It is a crucial stage that can affect further stages including the final character recognition stage. This thesis is focused on document image binarization, including both binarization techniques and evaluation methodologies. Specifically, accordin...

Aiming at the disadvantages of the traditional positioning technology, barcode positioning system is introduced in this paper. Based on Otsu method, a novel barcode image binarization is put forward by comparing varieties of image binarization methods domestically and abroad. Moreover, we have a systematic research on histogram and binarization mechanism, and also give the calculation of histog...

The effects of different image pre-processing methods for document image binarization are explored. They are compared on five different binarization methods on images with bleed through and stains as well as on images with uniform background speckle. The binarization method is significant in the binarization accuracy, but the pre-processing also plays a significant role. The Total Variation met...