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Research Based on the SoPC Platform of Feature-based Image Registration

机译:基于SoPC平台的基于特征的图像配准研究

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This paper focuses on the study of implementing feature-based image registration by System on a Programmable Chip (SoPC) hardware platform. We solidify the image registration algorithm on the FPGA chip, in which embedded soft core processor Nios Ⅱ can speed up the image processing system. In this way, we can make image registration technology get rid of the PC. And, consequently, this kind of technology will be got an extensive use. The experiment result indicates that our system shows stable performance, particularly in terms of matching processing which noise immunity is good. And feature points of images show a reasonable distribution.
机译:本文着重研究通过系统在可编程芯片(SoPC)硬件平台上实现基于特征的图像配准。我们在FPGA芯片上巩固了图像配准算法,其中嵌入式软核处理器NiosⅡ可以加快图像处理系统的速度。这样,我们可以使图像配准技术摆脱PC。并且,因此,这种技术将得到广泛使用。实验结果表明,我们的系统表现出稳定的性能,特别是在匹配处理方面,其抗扰性良好。并且图像的特征点显示出合理的分布。

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