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Updated: Oct 22, 2025

Operation of the Collaborative Composite Manufacturing CCM System
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Zig-Zag Based Single-Pass Connected Components Analysis.

Donald G Bailey1, Michael J Klaiber2

  • 1Department of Mechanical and Electrical Engineering, School of Food and Advanced Technology, Massey University, Palmerston North 4442, New Zealand.

Journal of Imaging
|August 30, 2021
PubMed
Summary
This summary is machine-generated.

This study introduces a zig-zag scan for connected components analysis (CCA), eliminating row-end label overhead. This novel approach enhances processing speed and reduces hardware needs for image analysis.

Keywords:
FPGAconnected components analysisfeature extractionhardware architecturepipelinestream processingzig-zag scan

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Area of Science:

  • Computer Vision
  • Image Processing
  • Algorithm Design

Background:

  • Connected Components Analysis (CCA) typically uses raster scans, incurring time overhead for label resolution at row ends.
  • Existing CCA algorithms face limitations in processing speed and hardware efficiency.

Purpose of the Study:

  • To eliminate the end-of-row label resolution overhead in single-pass CCA.
  • To improve the throughput and reduce hardware requirements of CCA algorithms.
  • To enable earlier output of feature vectors for completed connected components.

Main Methods:

  • Replaced the conventional raster scan with a zig-zag scan for CCA.
  • Developed a novel algorithm for label chain resolution during zig-zag scanning.
  • Introduced a new method for detecting object completion to minimize latency.

Main Results:

  • Eliminated the time overhead associated with end-of-row label resolution.
  • Achieved faster processing in worst-case scenarios without end-of-row delays.
  • Demonstrated higher image processing throughput compared to state-of-the-art methods.
  • Reduced hardware requirements for CCA architectures.

Conclusions:

  • The zig-zag scan offers a more efficient approach to single-pass CCA.
  • This method significantly improves processing speed and hardware efficiency in image analysis.
  • The proposed CCA algorithm presents a viable alternative for high-throughput image processing applications.