scholarly journals Image Edge Detection Using FPGA

2013 ◽  
Vol 10 (1) ◽  
pp. 1192-1200
Author(s):  
Cms Amrutha Kumari ◽  
Syed Jahangir Badashah
Keyword(s):  
Edge Detection ◽  
Automatic Segmentation ◽  
Detection Methods ◽  
X Ray ◽  
System Generator ◽  
Gate Arrays ◽  
Field Programmable ◽  
Programmable Gate Arrays ◽  
Image Edge ◽  
Xilinx System Generator

Medical imaging often involves the injection of contrast agents and subsequent analysis of tissue enhancement patterns. X-ray angiograms are projections of 3D reality into 2D representations, there is a fair amount of self occlusion among the vessels, hence one cannot extract the vessels directly using the image intensities or gradients (edge) alone. Vessels extraction from angiogram images is useful for blood vessels measurement and computer visualizations of the coronary artery. This project describes the algorithm for automatic segmentation of coronary arteries in digital X-ray projections here an improved k-means algorithm is proposed. The performance of the proposed algorithm is compared with other techniques. A methodology for implementing real-time DSP applications on a field programmable gate arrays (FPGA) using Xilinx System Generator (XSG) for Mat lab is presented in this paper. It presents the architecture for Edge Detection using Sobel Filter for image processing using Xilinx System Generator. The design was implemented targeting a Spartan3 a DSP 3400 device (XC3SD3400A-4FGG676C) then a vertex 5 (xc5vlx50-1ff676) .the edge detection methods has been verified successfully with no visually perceptual errors in the resulted images.

scholarly journals ANÁLISIS DEL DESEMPEÑO DE UN SISTEMA DE COMUNICACIONES CON MODULACIÓN 16/64 QAM BASADO EN HARDWARE RECONFIGURABLE

2014 ◽  
Vol 25 (1) ◽  
pp. 99-112
Author(s):  
Juan Camilo Zemanate Zuñiga ◽  
Julián Andrés Muñoz Hidalgo ◽  
Victor Manuel Quintero Flórez
Keyword(s):  
Bit Error Rate ◽  
Error Rate ◽  
Gaussian Noise ◽  
Additive White Gaussian Noise ◽  
Field Programmable Gate Arrays ◽  
System Generator ◽  
Gate Arrays ◽  
Field Programmable ◽  
El Sistema ◽  
Programmable Gate Arrays

En el presente artículo se analiza el desempeño de un sistema de comunicaciones banda base con Modulación de Amplitud en Cuadratura (QAM, Quadrature Amplitude Modulation), implementado sobre un Arreglo de Compuertas Programables de Campo (FPGA, Field Programmable Gate Arrays), a partir de la Tasa de Error de Bit (BER, Bit Error Rate) y del comportamiento del hardware reconfigurable.El sistema de comunicaciones banda base consideró un canal de Ruido Blanco Gaussiano Aditivo (AWGN, Additive White Gaussian Noise) y las modulaciones 16 QAM y 64 QAM. Se diseñó a través de la herramienta System Generator® de Xilinx®, se validó (a nivel de simulación) por medio de la comparación con un modelo en Simulink ® y se implementó sobre un FPGA Spartan 6 de Xilinx® mediante la descarga de un archivo de programación. Como resultados se obtuvieron las curvas de desempeño del sistema de comunicaciones banda base con modulación 16/64 QAM, las cuales fueron comparadas con las curvas de desempeño teóricas ofrecidas por la herramienta Bertool® de Matlab® para su correspondiente análisis. De este modo, se concluyó que dada la similitud de las curvas de desempeño obtenidas a partir de System Generator®, Simulink®, implementación y Bertool®, el sistema de comunicaciones banda base alcanzó resultados óptimos sobre hardware reconfigurable.

scholarly journals FPGA-Based Controller for a Hybrid Grid-Connected PV/Wind/Battery Power System with AC Load

Energies ◽  
2021 ◽  
Vol 14 (8) ◽  
pp. 2108
Author(s):  
Mohamed Yassine Allani ◽  
Jamel Riahi ◽  
Silvano Vergura ◽  
Abdelkader Mami
Keyword(s):  
Fuzzy Logic ◽  
Hybrid System ◽  
High Voltage ◽  
Field Programmable Gate Arrays ◽  
Energy System ◽  
Maximum Power ◽  
Hybrid Energy ◽  
Gate Arrays ◽  
Field Programmable ◽  
Programmable Gate Arrays

The development and optimization of a hybrid system composed of photovoltaic panels, wind turbines, converters, and batteries connected to the grid, is first presented. To generate the maximum power, two maximum power point tracker controllers based on fuzzy logic are required and a battery controller is used for the regulation of the DC voltage. When the power source varies, a high-voltage supply is incorporated (high gain DC-DC converter controlled by fuzzy logic) to boost the 24 V provided by the DC bus to the inverter voltage of about 400 V and to reduce energy losses to maximize the system performance. The inverter and the LCL filter allow for the integration of this hybrid system with AC loads and the grid. Moreover, a hardware solution for the field programmable gate arrays-based implementation of the controllers is proposed. The combination of these controllers was synthesized using the Integrated Synthesis Environment Design Suite software (Version: 14.7, City: Tunis, Country: Tunisia) and was successfully implemented on Field Programmable Gate Arrays Spartan 3E. The innovative design provides a suitable architecture based on power converters and control strategies that are dedicated to the proposed hybrid system to ensure system reliability. This implementation can provide a high level of flexibility that can facilitate the upgrade of a control system by simply updating or modifying the proposed algorithm running on the field programmable gate arrays board. The simulation results, using Matlab/Simulink (Version: 2016b, City: Tunis, Country: Tunisia, verify the efficiency of the proposed solution when the environmental conditions change. This study focused on the development and optimization of an electrical system control strategy to manage the produced energy and to coordinate the performance of the hybrid energy system. The paper proposes a combined photovoltaic and wind energy system, supported by a battery acting as an energy storage system. In addition, a bi-directional converter charges/discharges the battery, while a high-voltage gain converter connects them to the DC bus. The use of a battery is useful to compensate for the mismatch between the power demanded by the load and the power generated by the hybrid energy systems. The proposed field programmable gate arrays (FPGA)-based controllers ensure a fast time response by making control executable in real time.

scholarly journals Enhancing Ant-Based Algorithms for Medical Image Edge Detection by Admissible Perturbations of Demicontractive Mappings

Symmetry ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 885
Author(s):  
Vasile Berinde ◽  
Cristina Ţicală
Keyword(s):  
Edge Detection ◽  
Medical Image ◽  
Test Functions ◽  
Head Ct ◽  
X Ray ◽  
Numerical Tests ◽  
Image Edge Detection ◽  
Evaluation Of Parameters ◽  
Image Edge ◽  
Demicontractive Mappings

The aim of this paper is to show analytically and empirically how ant-based algorithms for medical image edge detection can be enhanced by using an admissible perturbation of demicontractive operators. We thus complement the results reported in a recent paper by the second author and her collaborators, where they used admissible perturbations of demicontractive mappings as test functions. To illustrate this fact, we first consider some typical properties of demicontractive mappings and of their admissible perturbations and then present some appropriate numerical tests to illustrate the improvement brought by the admissible perturbations of demicontractive mappings when they are taken as test functions in ant-based algorithms for medical image edge detection. The edge detection process reported in our study considers both symmetric (Head CT and Brain CT) and asymmetric (Hand X-ray) medical images. The performance of the algorithm was tested visually with various images and empirically with evaluation of parameters.

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