图像处理中基本预处理和形态学操作的硬件实现

Randika Perera, S. Premasiri
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引用次数: 3

摘要

本文提出了一种简单而有效的方法,使用现场可编程门阵列(FPGA)在实时视频帧上实现重要的预处理和形态学操作,该方法在任何图像处理应用中也很有用。尽管许多基于软件的算法已经可用,但实时应用需要更快的性能。本文集中的技术包括基于FPGA的灰度化、二值化、侵蚀、膨胀、边缘检测和图像调整。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Hardware implementation of essential pre-processing & Morphological Operations in Image Processing
This paper proposes a simple but effective way of implementing important pre-processing and Morphological operations on real-time video frames using a Field Programmable Gate Array (FPGA) that may be also found useful in any image processing application. Although many software based algorithms are already available, faster performances are required for real-time applications. The techniques concentrated in this paper involves FPGA based implementations of gray scaling, binarization, erosion, dilation, sobel edge detection and image resizing.
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