应用于计算机视觉系统的收缩处理器

F. Serratosa, P. Millán, E. Montseny
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引用次数: 2

摘要

低级图像处理需要对大数据集应用简单的操作。这个过程必须迅速完成。收缩处理器可以做到这一点。本研究描述了一种可重构收缩处理器的设计,用于实时(视频速率)图像的标志性处理。介绍了处理器的计算机(基本单元、延迟单元和互连网络),并着重介绍了基本单元。研究了图像符号处理的基本操作。这个细胞被设计成可以执行这些操作。在结果部分,给出了一些预处理算法(卷积、中值滤波、窄边提取)的处理器配置,并展示了处理器的典型性能和所使用的技术(分割和并行)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Systolic processors applied to computer vision systems
Low level image processing needs to apply simple operations to large sets of data. This processing has to be done quickly. Systolic processors enable this to be done. This study describes the design of a reconfigurable systolic processor for the iconic processing of images in real time (video rate). The computers of the processor (basic cells, delay elements, and interconnection network) are presented paying special attention to the basic cell. The basic operations used in the iconic processing of images are studied. The cell is designed so that it can carry out these operations. In the results section, the configurations of the processor for some preprocessing algorithms (convolution, median filtering, narrow edge extraction) are presented and the typical performance of the processor and the techniques used (segmentation and parallelism) are also shown.
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