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Sensors 2017, 17(2), 270; doi:10.3390/s17020270

Real-Time Straight-Line Detection for XGA-Size Videos by Hough Transform with Parallelized Voting Procedures

Hiroshima University, 1-3-1 Higashi-Hiroshima, Hiroshima 739-8530, Japan
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Received: 31 October 2016 / Accepted: 20 January 2017 / Published: 30 January 2017
(This article belongs to the Special Issue Video Analysis and Tracking Using State-of-the-Art Sensors)
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Abstract

The Hough Transform (HT) is a method for extracting straight lines from an edge image. The main limitations of the HT for usage in actual applications are computation time and storage requirements. This paper reports a hardware architecture for HT implementation on a Field Programmable Gate Array (FPGA) with parallelized voting procedure. The 2-dimensional accumulator array, namely the Hough space in parametric form (ρ, θ), for computing the strength of each line by a voting mechanism is mapped on a 1-dimensional array with regular increments of θ. Then, this Hough space is divided into a number of parallel parts. The computation of (ρ, θ) for the edge pixels and the voting procedure for straight-line determination are therefore executable in parallel. In addition, a synchronized initialization for the Hough space further increases the speed of straight-line detection, so that XGA video processing becomes possible. The designed prototype system has been synthesized on a DE4 platform with a Stratix-IV FPGA device. In the application of road-lane detection, the average processing speed of this HT implementation is 5.4ms per XGA-frame at 200 MHz working frequency. View Full-Text
Keywords: Hough Transform; 1-dimensional Hough space; synchronized initialization; video-based straight lines detection Hough Transform; 1-dimensional Hough space; synchronized initialization; video-based straight lines detection
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MDPI and ACS Style

Guan, J.; An, F.; Zhang, X.; Chen, L.; Mattausch, H.J. Real-Time Straight-Line Detection for XGA-Size Videos by Hough Transform with Parallelized Voting Procedures. Sensors 2017, 17, 270.

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