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引用次数: 107
摘要
图像处理在实时嵌入式系统中有着广泛的应用。实时图像处理需要在规定的时间内对大量图像像素数据进行处理。fpga等可重构器件可编程处理大型图像数据,通过在算法中部署并行、流水线技术,可减少图像处理所需的时间。边缘检测是许多图像处理中使用的非常基本的工具。Robert, Prewitt, Sobel边缘检测是基于梯度的边缘检测方法,用于在图像中找到边缘像素。本文介绍了基于Robert, Prewitt, Sobel算子的实时边缘检测技术的比较。边缘检测算法是借助硬件描述语言VHDL编写的。仿真使用Xilinx ISE Design Suite-13和MATLAB软件平台。本文主要研究灰度图像的边缘检测。
Comparisions of Robert, Prewitt, Sobel operator based edge detection methods for real time uses on FPGA
Image processing has applications in real time embedded systems. Real time image processing requires processing on large data of image pixels in a stipulated time. Reconfigurable device such as FPGAs can be program to process on large image data and required processing time on image can be reduced by deploying parallelism, pipelining techniques in algorithm. Edge detection is very basic tool used in many image processing. Robert, Prewitt, Sobel edge detection are gradient based edge detection methods used to find edge pixels in an image. This paper presents comparisons of Robert, Prewitt, Sobel operators based edge detection techniques for real time uses. Edge detection algorithms are written with the help of hardware descriptive language VHDL. Xilinx ISE Design Suite-13 and MATLAB software platforms are used for simulation purpose. This paper focus on edge detection of gray scale image.