Md. Enamul Haque, Abdullah Al Kaisan, Mahmudur R Saniat, Aminur Rahman
In this paper, we implemented both sequential and parallel version of fractal image compression algorithms using CUDA (Compute Unified Device Architecture) programming model for parallelizing the program in Graphics Processing Unit for medical images, as they are highly similar within the image itself. There are several improvement in the implementation of the algorithm as well. […]
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S. Kostopoulos, D. Glotsos, K. Sidiropoulos, P. Asvestas, D. Cavouras, I. Kalatzis
The aim of the present study was to implement a pattern recognition system for the discrimination of healthy from malignant prostate tumors from proteomic Mass Spectroscopy (MS) samples and to identify m/z intervals of potential biomarkers associated with prostate cancer. One hundred and six MS-spectra were studied in total. Sixty three spectra corresponded to healthy […]
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S. Kostopoulos, K. Sidiropoulos, D. Glotsos, N. Dimitropoulos, I. Kalatzis, P. Asvestas and D. Cavouras
The aim of this study was to design a pattern recognition system for assisting the diagnosis of breast lesions, using image information from Ultrasound (US) and Digital Mammography (DM) imaging modalities. State-of-art computer technology was employed based on commercial Graphics Processing Unit (GPU) cards and parallel programming. An experienced radiologist outlined breast lesions on both […]
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Elena Graverini
This thesis reports a study for a new real-time trigger for the NA62 experiment based on Graphical Processing Units (GPUs). The NA62 experiment was devised to study with unprecedented precision the ultra-rare decay K+->pi+ nu nu_bar, a process mediated by Flavour-Changing Neutral Currents (FCNC) whose exceptional theoretical cleanliness provides a unique probe to test the […]
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Mohammed B. Mohammed
The exponential growth of the world’s technological industry has an important impact on our lives; we are witnessing an expansion in computer power combined with a noticeable development of digital camera capabilities. To keep up with the requirements of the digitalized world, the focus has been set on the computer vision field. One of the […]
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Ravishekhar Banger, Koushik Bhattacharyya
This book follows an example-driven, simplified, and practical approach to using OpenCL for general purpose GPU programming. If you are a beginner in parallel programming and would like to quickly accelerate your algorithms using OpenCL, this book is perfect for you! You will find the diverse topics and case studies in this book interesting and […]
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Jiri Havel
This works focuses on the Hough transform (HT). The HT is mostly used for the detection of lines or curves, but was also generalized for detection of arbitrary shapes. The main theme of this work are line parameterizations, especially the Point-to-Line mappings. These parameterizations share the property, that a point in the image maps onto […]
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Umesh Balkrishna Chavan, Dinesh B Kulkarni
Expression recognition (happy, sad, disgust, surprise, angry, fear expressions) is application of advanced object detection, pattern recognition and classification task. Facial expression recognition techniques detecting emotion of people’ using their facial expressions. This has found applications in technical fields such as Human-computer-Interaction (HCI) and security monitoring. It generally requires fast processing and decision making. Therefore, […]
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CYN Dwith, Rathna.G.N
In this paper, a novel parallelized implementation of rotation invariant texture classification using Heterogeneous Computing Platforms like CPU and Graphics Processing Unit (GPU) is proposed. A complete modeling of the LBP operator as well as its improvised versions of Complete Local Binary Patterns (CLBP) and Multi-scale Local Binary Patterns (MLBP) has been developed on a […]
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Sidi Ahmed Mahmoudi, Pierre Manneback
Image processing algorithms present a necessary tool for various domains related to computer vision, such as video surveillance, medical imaging, pattern recognition, etc. However, these algorithms are hampered by their high consumption of both computing power and memory, which increase significantly when processing large sets of high resolution images. In this work, we propose a […]
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Jordan Vrtanoski, Toni Draganov Stojanovski
OpenCL platform provides unified development environment for various multicore processors. In this paper, we evaluate the OpenCL framework for application in pattern recognition. We have selected the most common algorithm for Artificial Neural Networks (ANN) training – the backpropagation algorithm for parallelization with OpenCL because of its high demand for processing resources. We will show […]
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Frederic Verpillat, Fadwa Joud, Pierre Desbiolles, Michel Gross
In this paper we present a digital holographic microscope to track gold colloids in three dimensions. We report observations of 100nm gold particles in motion in water. The expected signal and the chosen method of reconstruction are described. We also discuss about how to implement the numerical calculation to reach real-time 3D tracking.
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