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A Study on the FPGA Implementation of Edge Detection Algorithms

机译:边缘检测算法FPGA实现的研究

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For a computer to have even a rudimentary form of vision, it must have the ability to recognize or locate objects. To accomplish this task, a computer must have the ability to process digital images. One way to process a digital image is to segment the image into regions. This paper focuses on using two different algorithms, known as the Sobel and Laplace algorithms, to perform the operation of segmenting an image into regions, more specifically edges. A comparison is done by implementing each algorithm in hardware, or more specifically in a Field Programmable Gate Array (FPGA), and then evaluating the amount of time required for the clock period of each implementation. This paper briefly review the edge detection algorithms followed by the experimental implementations.
机译:对于甚至具有基本形式的视觉的计算机,它必须具有识别或定位对象的能力。要完成此任务,计算机必须具有处理数字图像的能力。处理数字图像的一种方法是将图像分段为区域。本文侧重于使用两个不同的算法,称为Sobel和LaPlace算法,以执行将图像分割成区域的操作,更具体地。通过在硬件中实现每个算法,或者更具体地在现场可编程门阵列(FPGA)中来完成比较,然后评估每个实现的时钟周期所需的时间量。本文简要介绍了边缘检测算法,然后是实验实施。

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