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The following topics are dealt with: signal processing; information technology; computer networks; database management system; telecommunication networks.
In this paper we briefly describe the results of a recent research on how to construct and implement Bspline wavelet basis. Next, a novel technique based on using Bspline wavelet basis, is proposed for signal de-noising and image compression. Extensive simulation results, have shown that the proposed technique competes very well with other methods using classical orthogonal and bi-orthogonal wavelets...
This paper introduces a face recognition method based on the Dual-Tree Complex Wavelet Transform (DT-CWT), which is used to extract features from face images. DT-CWT uses similar kernels with Gabor wavelets and is a computationally cheaper way of extracting Gabor-like features. Principal Component Analysis (PCA) which is a linear dimensionality reduction technique, that attempts to represent data...
Hyperspectral image processing has been a very active area in remote sensing and other application domains in recent years. Despite the availability of a wide range of advanced processing techniques for hyperspectral data analysis, a great majority of available techniques for this purpose are based on the consideration of spectral information separately from spatial information information, and thus...
This paper describes a method to automatically obtain the glottal space segmentation without user initialization from healthy and pathological vocal folds video sequences captured by the laryngoscope. The segmentation is mainly based on a Gabor filter bank, studying the texture differences inside vocal folds images, and combining it with others advanced image processing techniques to achieve the expected...
In the paper is presented new method for lossless compression of biomedical signals, aimed at telemedicine applications and efficient data storage with content protection. The method is based on data compression algorithm developed by the authors. The high compression ratio obtained permits efficient data transfer via communication channels and enhances the distance monitoring of patients. The presented...
Codon usage bias is well established in different species from bacteria to mammals. A number of models have been proposed to show this bias as a balance between mutation and selection. Most of these models emphasize controlling the speed of protein translation from the mRNA and increasing the accuracy where this bias is dependent on the abundance and properties of the available tRNA. In this work,...
At present, one goal of the seizure predictions is to use the linear methods to make the prediction simple. In the paper, a linear method called the singular spectrum analysis (SSA) is employed to the prediction of the seizures onset based on the scalp EEG recordings from the epilepsy patients whose focus are in the temporal lobe as well as from the healthy humans. Different from other prediction...
EEG based brain computer interface has provided a new communication pathway between the human brain and the computer. It can be used for handicap or disabled users to interact with human using the computer interface. It can also be used in controlling human's muscles movement. In this paper, we show that meaningful information can be extracted from EEG signal through incremental approach. We applied...
In the present paper, a concept of compression using block ridgelet transform is introduced. This kind of analysis/synthesis fingerprint representation takes the form of basis elements which exhibit very high directional sensitivity and are highly anisotropic. This transform tailored for fingerprint, associated to a quantized global orientation flow provides a suit representation of the oriented ridges...
The main goal of colour quantization methods is a colour reduction with minimum colour error. In this paper were investigated six following colour quantization techniques: the classical median cut, improved median cut, clustering k-means technique in two colour versions (RGB, CIELAB) and also two versions of relative novel technique named k-harmonic means. The comparison presented here was based on...
Applying image processing technology and machine vision in industry have had significant development in recent decade. Tile and ceramic industry was not excluded form this matter. By using image processing techniques in production line of this industry, it is possible to detect surface defections such as edge defections, cracks and coloring defections. Surface defection is the most common type of...
This paper proposes a new method for real-time distributed image acquisition through wireless networks of traffic monitoring cameras. The goal is to provide comprehensive image acquisition in the presence of dynamic disturbances, which obstruct the field of view (FOV) of the cameras. The paper presents a collaborative online algorithm, which (upon FOV loss) identifies an optimized set of cameras that...
Click fraud is a type of Internet crime that occurs in pay per click online advertising when a person, automated script, or computer program imitates a legitimate user of a Web browser clicking on an ad, for the purpose of generating a charge per click without having actual interest in the target of the ad's link. Most of the available commercial solutions are just click fraud reporting systems, not...
This paper presents an example of project-based learning (PBL) in an undergraduate course on Image processing. The design of a simple, low-cost computer vision system for implementation on a chess-playing capable robot is discussed. The system is based on a standard CCD camera and a personal computer. This project is a good tool for learning most of the course material that would otherwise be mastered...
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