用于实时计算高阶二维图像矩的专用处理器的开发和评估

N. Roma, L. Sousa
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引用次数: 0

摘要

图像矩在图像分析中用于对象建模、匹配和表示。高阶矩的计算是一项计算密集型的任务,目前的通用处理器无法实时实现。本文提出了一套专用处理器,通过采用收缩处理技术和浮点算术单元,实时生成任意顺序的图像矩。它提出了一种模块化和经济有效的结构来生成图像矩,其处理时间不依赖于计算的矩的顺序。该架构采用0.7 /spl μ m CMOS工艺,采用可编程数字处理器、可配置硬件逻辑和集成电路等不同器件实现。几个实现显示了该体系结构的有效性,并且获得的结果允许我们在速度、灵活性、成本和功耗方面比较不同的解决方案。
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In the development and evaluation of specialized processors for computing high-order 2-D image moments in real-time
Image moments are used in image analysis for object modelling, matching and representation. The computation of high-order moments is a computational intensive task that can not be implemented in real-time with nowadays general-purpose processors. This paper proposes a set of specialised processors for generating an image moment of an arbitrary order in real time, by adopting systolic processing techniques and floating-point arithmetic units. It proposes a modular and cost effective architecture for generating image moments, with a processing time not dependent on the order of the computed moments. The architecture was implemented using different devices, such as programmable digital processors, configurable hardware logic and integrated circuits, by using a 0.7 /spl mu/m CMOS process. The several implementations have shown the effectiveness of the architecture, and the obtained results allow us to compare the different solutions in terms of speed, flexibility, cost and power consumption.
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