Image binarization plays a vital role in text segmentation which is used in OCR application. Binarization of text in degraded images is a challenging task due to the variations in colour, size, and font of the text and the results are often affected by complex backgrounds, different lighting conditions, shadows and reflections. A robust solution to this problem can significantly enhance the acc...

An algorithm for post-processing of the grayscale 3D computed tomography (CT) images porous structures with automatic selection filtering parameters is proposed. The determination carried out on a representative part image under analysis. A criterion search optimal based count "levitating stone" voxels described. stages CT and its binarization are performed sequentially. Bilateral anisotropic d...

Image processing algorithms can be conventionally divided into several levels. Algorithms of low level (I) image processing are typically performed as a sequence of simple operations such as a look-up-table, binarization, median filtering, convolution. logic operation and others. The middle level (II) image processing does image segmentation, object localisation, form recognizing and character ...

Most of the existing document-binarization techniques deal with many parameters that require a priori setting of their values. Due to the unknown of the ground-truth images, the evaluation of document binarization techniques is subjective and employs human observers for the estimation of the appropriate parameter values. The selection of the appropriate values for these parameters is crucial an...

Binarization is essential for achieving polynomial time complexities in parsing and syntax-based machine translation. This paper presents a new binarization scheme, target-side binarization, and compares it with source-side and synchronous binarizations on both stringbased and tree-based systems using synchronous grammars. In particular, we demonstrate the effectiveness of targetside binarizati...

We describe an algorithm to enhance and binarize a fingerprint image. The algorithm is based on accurate determination of orientation flow of the ridges of the fingerprint image by computing variance of the neighborhood pixels around a pixel in different directions. We show that an iterative algorithm which captures the mutual interdependence of orientation flow computation, enhancement and bin...

In this paper we present Document analysis and classification system to segment and classify contents of Arabic document images. This system includes preprocessing, document segmentation, feature extraction and document classification. A document image is enhanced in the preprocessing by removing noise, binarization, and detecting and correcting image skew. In document segmentation, an algorith...

This work demonstrates the implementation of a high speed eye tracking system capable of tracking saccadic eye movement. Setting out to capture saccades with velocities of up to 700/sec and durations as short as 20ms, the current system provides a frame rate of 100Hz. To achieve this frame rate, the system utilizes low cost, small size tracking hardware: the Vision Chip. The system tracks eye m...

Novelty detection is an important functionality that has found many applications in information retrieval and processing. In this paper we propose a novel framework that deals with novelty detection in multiple-scene image sets. Working with wildlife image data, the framework starts with image segmentation, followed by feature extraction and classification of the image blocks extracted from ima...