Serwis Infona wykorzystuje pliki cookies (ciasteczka). Są to wartości tekstowe, zapamiętywane przez przeglądarkę na urządzeniu użytkownika. Nasz serwis ma dostęp do tych wartości oraz wykorzystuje je do zapamiętania danych dotyczących użytkownika, takich jak np. ustawienia (typu widok ekranu, wybór języka interfejsu), zapamiętanie zalogowania. Korzystanie z serwisu Infona oznacza zgodę na zapis informacji i ich wykorzystanie dla celów korzytania z serwisu. Więcej informacji można znaleźć w Polityce prywatności oraz Regulaminie serwisu. Zamknięcie tego okienka potwierdza zapoznanie się z informacją o plikach cookies, akceptację polityki prywatności i regulaminu oraz sposobu wykorzystywania plików cookies w serwisie. Możesz zmienić ustawienia obsługi cookies w swojej przeglądarce.
Image is a visual representation of object, or a scene which can be seen by human eyes. Image can be created and stored in electronic form. Image is a two dimensional function f(x, y) where, x and y are spatial co-ordinates and amplitude of images is defined in intensity level of each pixel. Image fusion means merging relevant information from different images to create one new image which is more...
This paper presents a hardware implementation approach for the feature extraction of MRI images using wavelet transform. In this paper wavelet based texture feature extraction method has been proposed. Which has mainly two steps (i) The input MRI image is decomposed into different frequency sub band images using 2-D Discrete Wavelet Transform, (ii) by using Segmentation based Fractal texture analysis...
Face recognition is gaining more importance in today's real world for automated transactions. In this paper, we propose FPGA Implementation of Face Recognition System using Efficient 5/3 2D-Lifting scheme. The database image of FVC-2004 DB3_A is resized to 256×256 pixels. The resized image is convolved with 3×3 Gaussian mask kernelsto remove high frequency edges, which improves matching accuracy....
Brain-computer interfaces (BCIs) require real-time feature extraction for translating input EEG signals recorded from a subject into an output command or decision. Owing to the inherent difficulties in EEG signal processing and neural decoding, many of the feature extraction algorithms are complex and computationally demanding. Presently, software does exist to perform real-time feature extraction...
In the human brain pathology the quantitative analysis of magnetic resonance imaging (MRI) data is important in both research and clinical point of veiw. Generally the MRI images are very noisy. Hence it is quite difficult for the doctors to diagnose and conclude on any disease. In the recent research, various images de-noising algorithms have been proposed. As far as the brain diseases are concerned,...
Arrhythmia is a condition when heart beats are not beating properly, either in rhythm or in intensity. Sometimes arrhythmia problems could make patients in dangerous condition due to their sortie. However, good classification and diagnostic in arrhythmia will help many lives from fatal menace. Many different diagnostics and classifications have been conducted recently by using neural network as their...
This paper presents the implementation of a low-power and implantable neuroprocessor on low-cost nano-FPGA for data reduction and on-the-fly spike sorting in Brain Machine Interface applications. Detailed analysis of efficient utilization of the hardware resources, power consumption and design scalability are provided. The prototype we report here enables simultaneous processing of 32-channel data...
This paper aims at the construction of VLSI architecture of defect extraction based on wavelet packet decomposition. The wavelet packet decomposition for defect feature extraction of ultrasonic signal in nondestructive test is discussed. Based on the features being extracted from decomposed coefficients at different scales and levels, the frame of defect feature extraction is confirmed. The VLSI architectures...
In this paper, we proposed a hardware system with field programmable gate array (FPGA) for facial expression recognition which used Haar discrete wavelet transform (DWT) and cerebellar model articulation controller (CMAC). Firstly, the facial expression features are automatically extracted and preprocessed to obtain the frontal view of faces. A 2D DWT IP is then used to decrease the size of images...
FPGAs provide an ideal template for run-time reconfigurable (RTR) designs. Only recently have RTR enabling design tools that bypass the traditional synthesis and bit stream generation process for FPGAs become available. Heart auscultation which is the interpretation of sounds produced by the heart is a fundamental tool in the diagnosis of heart disease. It is the most commonly used technique for screening...
Podaj zakres dat dla filtrowania wyświetlonych wyników. Możesz podać datę początkową, końcową lub obie daty. Daty możesz wpisać ręcznie lub wybrać za pomocą kalendarza.