In this paper, we present two connected MRF models, the edge-preserving smoothing model followed by the modified standard regularization, for the adaptive binarization of the non-uniform images in the presence of noise. In particular, we have developed the computational model for the modified standard regularization method to be used to calculate the adaptive threshold surface for noisy images....

This chapter deals with digital restoration, preservation, and data base storage of historical manuscripts images. It focuses on restoration techniques and binarization methods combined with image processing applied on document images for text background enhancement and discrimination. Sequential image processing procedures are applied for image refinement and enhancement on quality class categ...

The meteorological measurement automatic temperature testing system has a defective image. To solve the problem such as noise and insufficient contrast, and put forward the research program for image pretreatment, the median filter, histogram equalization and image binarization, methods were used to remove noise and enhance images. Results showed that feature points were clear and accurate afte...

Document image binarization is a vital pre-processing technique for document image analysis that segments text from badly degraded document images. In this paper, we propose a robust document image binarization technique that is based on the concept of adaptive image contrast. The adaptive image contrast which is formed by combining local image contrast and the local image gradient makes it tol...

In this paper, we present an adaptive method for the binarization of historical manuscripts and degraded document images. The proposed approach is based on maximum likelihood (ML) classification and uses a priori information and the spatial relationship on the image domain. In contrast with conventional methods that use a decision based on thresholding, the proposed method performs a soft decis...

We propose a novel coplanar filter, which exploits the coplanarity of gray-level distribution of neighboring pixels, to pre-filter the document images. Experiments show that the proposed filter exhibits the following desired properties for document image binarization: (1) impulsive noise removal, (2) piecewise smoothing, and (3) sharp edge preservation.

----------------------------------------------------ABSTRACT--------------------------------------------------Segmentation of text from badly degraded document images is very challenging tasks due to the high inter/intra variation between the document background and the foreground text of different document images. In this paper, we propose a novel document image binarization technique that add...