Memory efficient FPGA implementation of hough transform for line and circle detection
Memory efficient FPGA implementation of hough transform for line and circle detection
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DOI：
10.1109/ccece.2012.6335003
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发表时间：
2012-10
期刊：
影响因子：
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通讯作者：
A. Elhossini;M. Moussa
中科院分区：
文献类型：
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作者：
A. Elhossini;M. Moussa
Hough变换（HT）是机器视觉系统中广泛使用的一种算法。本文提出了一种在FPGA上实现HT的高效存储器结构。所提出的架构，使存储在FPGA的存储器块的HT空间，而不需要访问外部存储器，同时处理大尺寸的图像在实时高帧速率。它可以用于直线和圆的检测。结果显示，在30 fps帧速率和800 × 600图像大小下处理的图像具有非常好的准确性。这与文献中报道的其他架构相比毫不逊色。
Hough transform (HT) is a widely used algorithm in machine vision systems. In this paper, a memory efficient architecture for implementing HT on FPGAs is presented. The proposed architecture enables storing the HT space on the FPGA's memory blocks with no need for accessing external memory while processing large size images in real-time with high frame rate. It can be used for both line and circle detection. Results show very good accuracy with images processed at 30 fps frame rate and image size of 800 × 600. This compares favourably with other reported architectures in the literature.