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Open AccessArticle

Zig-Zag Based Single-Pass Connected Components Analysis

by Donald G. Bailey 1,*,† and Michael J. Klaiber 2,†
1
Department of Mechanical and Electrical Engineering, School of Food and Advanced Technology, Massey University, Palmerston North 4442, New Zealand
2
Independent Researcher, 70176 Stuttgart, Germany
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
J. Imaging 2019, 5(4), 45; https://doi.org/10.3390/jimaging5040045
Received: 2 February 2019 / Revised: 20 March 2019 / Accepted: 29 March 2019 / Published: 6 April 2019
(This article belongs to the Special Issue Image Processing Using FPGAs)
Single-pass connected components analysis (CCA) algorithms suffer from a time overhead to resolve labels at the end of each image row. This work demonstrates how this overhead can be eliminated by replacing the conventional raster scan by a zig-zag scan. This enables chains of labels to be correctly resolved while processing the next image row. The effect is faster processing in the worst case with no end of row overheads. CCA hardware architectures using the novel algorithm proposed in this paper are, therefore, able to process images at higher throughput than other state-of-the-art methods while reducing the hardware requirements. The latency introduced by the conversion from raster scan to zig-zag scan is compensated for by a new method of detecting object completion, which enables the feature vector for completed connected components to be output at the earliest possible opportunity. View Full-Text
Keywords: connected components analysis; stream processing; feature extraction; zig-zag scan; hardware architecture; FPGA; pipeline connected components analysis; stream processing; feature extraction; zig-zag scan; hardware architecture; FPGA; pipeline
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Bailey, D.G.; Klaiber, M.J. Zig-Zag Based Single-Pass Connected Components Analysis. J. Imaging 2019, 5, 45.

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