FPGA实现了一种利用二值图像的图像配准算法

An Hung Nguyen, M. Pickering, A. Lambert
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引用次数: 2

摘要

由于硬件资源的限制和对实时处理速度的要求,图像配准算法的FPGA实现是一个具有挑战性的问题。使用低位分辨率图像的图像配准方法比使用全分辨率图像的方法更适合在fpga上实现,因为所需的硬件资源显著减少。使用简单的逻辑运算如AND、XOR和NOT,而不是加法和乘法等更复杂的计算,也可以满足实时处理的要求。本文提出了一种基于SPARTAN-3E系列fpga的图像配准算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The FPGA implementation of an image registration algorithm using binary images
The FPGA implementation of image registration algorithms is a challenging problem due to the limited resources of the hardware and the requirement for real-time processing speeds. Image registration approaches using low bit-resolution images are more feasible for implementation on FPGAs than those using full resolution images because of the significant reduction in hardware resources required. The real-time processing requirement can also be satisfied with the use of simple logic operations such as AND, XOR and NOT instead of more complex computations such as additions and multiplications. This paper presents the implementation of an image registration algorithm on two FPGAs from the SPARTAN-3E family for the case of translational motion.
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