Hardware implementation of ISODATA and Otsu thresholding algorithms

A. F. Torres-Monsalve, Jaime Velasco-Medina
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引用次数: 8

Abstract

Image and video processing algorithms implemented in software, require most computation time when the image size is increased. Also, some algorithms must be processed at high-speed, for example the image thresholding algorithms for high throughput real-time applications. Then, in order to overcome this requirement, the algorithms must be efficiently implemented in hardware. In this paper, we present the hardware architectures for ISODATA and Otsu thresholding algorithms comparing area, latency, throughput and power consumption. The designs are described using generic structural VHDL and synthesized on the FPGA EP4CE115F29C7N. The designed architectures were verified using Signal Tap and an image acquisition system based on the D5M camera and the DE2-115 development kit of Terasic.
硬件实现的ISODATA和Otsu阈值算法
在软件中实现的图像和视频处理算法,当图像尺寸增大时,需要大量的计算时间。此外,有些算法必须高速处理,例如用于高吞吐量实时应用的图像阈值算法。然后,为了克服这一要求,必须在硬件上有效地实现算法。在本文中,我们介绍了ISODATA和Otsu阈值算法的硬件架构,比较了面积、延迟、吞吐量和功耗。该设计采用通用结构VHDL进行描述,并在FPGA EP4CE115F29C7N上进行合成。采用Signal Tap和基于D5M摄像机和Terasic公司的DE2-115开发套件的图像采集系统对所设计的架构进行了验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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