This paper proposes a novel binarization algorithm for converting the grayscale and color images into black and white images. The binarization is one of the very important process in all the researches pertaining to the field of the Document image processing and Pattern recognition. Since quality of binary image plays a critical role in the further processing of the document, especially in the ...

Contrast enhancement is an important area of research for the image analysis. Over the decade, the researcher worked on this domain to develop an efficient and adequate algorithm. The proposed method will enhance the contrast of image using Binarization method with the help of Maximum Likelihood Estimation (MLE). The paper aims to enhance the image contrast of bimodal and multi-modal images. Th...

We present a method for binarization of degraded call number images. Based on the texture feature of the character stroke, the algorithm initially detects the character pixels to determine the size of the local area and compute the logical thresholding level. Experimental results prove the effectiveness of the method. key words: call number, degraded image, image binarization, image segmentatio...

Although binarization is considered passe, it still remains a highly popular research topic. In this paper we propose a rethinking of what binarization is. We introduce the notion of the visual archetype as the ideal form of any one document. Binarization can be defined as the restoration of the visual archetype for a class of images. This definition broadens the scope of what binarization mean...

Binarization is a process of separation of pixel values of an input image into two pixel values like white as background and black as foreground. It is an important part in image processing and it is the first step in many document analysis and OCR processes. Most of the binarization techniques associate a certain intensity value called threshold which separate the pixel values of the concerned...

| This paper presents a methodology for evaluation of low-level image analysis methods, using binariza-tion (two-level thresholding) as an example. Binarization of scanned gray scale images is the rst step in most document image analysis systems. Selection of an appropriate binarization method for an input image domain is a diicult problem. Typically, a human expert evaluates the binarized imag...

Here presenting a phase-based binarization model for ancient document images, and also a post processing method which can improve any binarization method and a ground truth generation tool. Three feature maps derived from the phase information of an input document image form the core of this binarization model. These features are the maximum moment of phase corresponding to covariance, a locall...

In this paper we present two methods of binarization of corneal endothelial images. The binarization is a first step of advanced image analysis. Images of corneal endothelial obtained by the specular microscopy have a poor dynamic range and they are usually non-uniformly illuminated. The binarization endothelial images is not trivial. Two binarization algorithms are proposed. The output images ...

Binarization plays an important role in document image processing, especially in degraded documents. For degraded document images, adaptive binarization methods often incorporate local information to determine the binarization threshold for each individual pixel in the document image. We propose a two-stage parameter-free window-based method to binarize the degraded document images. In the firs...

Image binarization is a common operation in the pre-processing stage in most Optical Music Recognition (OMR) systems. The choice of an appropriate binarization method for handwritten music scores is a difficult problem. Several works have already evaluated the performance of existing binarization processes in diverse applications. However, no goal-directed studies for music sheets documents wer...