Design of Sobel operator based image edge detection algorithm on FPGA

Girish N. Chaple, R. Daruwala
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引用次数: 68

Abstract

Real-time image processing applications requires processing on large data of pixels in a given timing constraints. Reconfigurable device like FPGAs have emerged as promising solutions for reducing execution times by deploying parallelism techniques in image processing algorithms. Implementation of highly parallel system architecture, parallel access of large internal memory banks and optimization of processing element for applications makes FPGA an ideal device for image processing system. Edge detection is basic tool used in many image processing applications for extracting information from image. Sobel edge detection is gradient based edge detection method used to find edge pixels in image. This paper presents a design of a Sobel edge detection algorithm to find edge pixels in gray scale image. Xilinx ISE Design Suite-14 software platforms is used to design a algorithm using VHDL language. MATLAB software platform is used for obtaining pixel data matrix from gray scale image and vice versa. Xilinx FPGAs of family Vertex-5 are more suitable for image processing work than Spartan-3 and Spartan-6.
基于Sobel算子的图像边缘检测算法的FPGA设计
实时图像处理应用需要在给定的时间限制下处理大量像素数据。通过在图像处理算法中部署并行技术,像fpga这样的可重构设备已经成为减少执行时间的有前途的解决方案。高度并行系统架构的实现、大型内部存储器的并行访问以及应用程序处理元件的优化,使FPGA成为图像处理系统的理想器件。边缘检测是许多图像处理应用中用于从图像中提取信息的基本工具。索贝尔边缘检测是一种基于梯度的边缘检测方法,用于在图像中寻找边缘像素点。本文设计了一种用于灰度图像边缘像素的Sobel边缘检测算法。采用Xilinx ISE Design Suite-14软件平台,采用VHDL语言设计算法。利用MATLAB软件平台从灰度图像中获取像素数据矩阵,从灰度图像中获取像素数据矩阵。Xilinx Vertex-5系列fpga比Spartan-3和Spartan-6更适合图像处理工作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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