A fast edge detection chip for robot vision systems

C.Y. Lee, F. Catthoor, H. de Man
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Abstract

Summary form only given. A fast edge detector architecture and IC, based on a new edge follower algorithm, have been designed. The chip offers real-time processing with a limited amount of hardware due to the optimization of the critical path in the architecture. In this way, a complete frame (512*512) can be processed in about 400000 clock cycles, and a clock rate of up to 10 MHz has been achieved in a 3- mu m double-metal CMOS technology. This chip offers online information such as edge location and orientation, which can be used for feature extraction and pattern recognition in the robot vision system. A novel architectural model, the multiplexed cooperating datapath architecture, has been adopted to obtain an efficient design with a minimal set of functional building blocks. The methodology is especially suited for recursive types of algorithms such as the edge follower. High throughput is achieved by optimizing the memory storage and by eliminating the communication bottlenecks with dedicated buses.<>
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用于机器人视觉系统的快速边缘检测芯片
只提供摘要形式。基于一种新的边缘跟随算法,设计了一种快速边缘检测体系结构和集成电路。由于优化了架构中的关键路径,该芯片在有限的硬件条件下提供实时处理。这样,一个完整的帧(512*512)可以在大约400,000个时钟周期内处理,并且在3 μ m双金属CMOS技术中实现了高达10mhz的时钟速率。该芯片提供边缘位置和方向等在线信息,可用于机器人视觉系统的特征提取和模式识别。采用了一种新颖的架构模型——多路协同数据路径架构,以最小的功能构建块集实现高效的设计。该方法特别适合于递归类型的算法,如边缘跟随器。高吞吐量是通过优化内存存储和消除专用总线的通信瓶颈来实现的。
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