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FPGA-Based System for Fast Image Segmentation Inspired by the Network of Synchronized Oscillators

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Artificial Intelligence and Soft Computing (ICAISC 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10245))

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Abstract

This paper presents an FPGA-based system for fast and parallel image segmentation. Implemented segmentation method is inspired by operation of the network of synchronized oscillators - a robust tool for image processing and analysis. The architecture of parallel digital image processor was presented and discussed. It was optimized to enable fully synchronized parallel processing along with reduction of FPGA resources. The developed system is able to analyze both binary and monochrome images with size of 64\(\,\times \,\)64 pixels. It was demonstrated that it can perform region growing image segmentation, edge detection, labelling of binary objects, and basic morphological operations. Sample analysis results were also presented and discussed.

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Author information

Authors and Affiliations

  1. Institute of Electronics, Lodz University of Technology, Wolczanska 211/215, 90-924, Lodz, Poland

    Michal Strzelecki & Przemyslaw Brylski

  2. Division of Electronics and Information Engineering, Chonbuk National University, 561-756, Jeonju, Korea

    H. Kim

Authors
  1. Michal Strzelecki
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  2. Przemyslaw Brylski
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  3. H. Kim
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Corresponding author

Correspondence to Michal Strzelecki .

Editor information

Editors and Affiliations

  1. Częstochowa University of Technology, Częstochowa, Poland

    Leszek Rutkowski

  2. Częstochowa University of Technology, Częstochowa, Poland

    Marcin Korytkowski

  3. Częstochowa University of Technology, Częstochowa, Poland

    Rafał Scherer

  4. AGH University of Science and Technology, Kraków, Poland

    Ryszard Tadeusiewicz

  5. University of California, Berkeley, California, USA

    Lotfi A. Zadeh

  6. University of Louisville, Louisville, Kentucky, USA

    Jacek M. Zurada

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Strzelecki, M., Brylski, P., Kim, H. (2017). FPGA-Based System for Fast Image Segmentation Inspired by the Network of Synchronized Oscillators. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L., Zurada, J. (eds) Artificial Intelligence and Soft Computing. ICAISC 2017. Lecture Notes in Computer Science(), vol 10245. Springer, Cham. https://doi.org/10.1007/978-3-319-59063-9_52

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  • DOI: https://doi.org/10.1007/978-3-319-59063-9_52

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-59062-2

  • Online ISBN: 978-3-319-59063-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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