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On Image Compression for Mobile Robots Using Feed-Forward Neural Networks

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Soft Computing Applications (SOFA 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1222))

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Abstract

In mobile robots control, the vision system is placed in the feedback loop, and it requires the ability to extract the necessary information for multiple real-time image and video processing tasks. Image compression techniques are useful in vision systems for large data streaming, like image transmission, archival and retrieval purposes. Neural networks (NN) are widely used in image processing, for solving different issues, with different NN topology, training and testing sets selection, and learning algorithms. Aspects of grayscale image compression for vision system in mobile robots using artificial NNs are discussed in this paper. Several feed-forward neural networks (FFNN) are analyzed, using different structures, input dimensions, neuron numbers, and performance criteria. The goal of the paper is to study the behavior of low-complexity FFNN models for grayscale image compression, with good compression rate and small enough errors for the vision system purposes in mobile robots.

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Author information

Authors and Affiliations

  1. Department of Electronics and Telecommunications, “Dunarea de Jos”, University of Galati, 47 Domneasca St., 800008, Galati, Romania

    Viorel Nicolau & Mihaela Andrei

Authors
  1. Viorel Nicolau
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  2. Mihaela Andrei
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Corresponding author

Correspondence to Viorel Nicolau .

Editor information

Editors and Affiliations

  1. "Aurel Vlaicu" University of Arad, Faculty of Engineering, Arad, Romania

    Valentina Emilia Balas

  2. Faculty of Engineering and Information Technology, University of Technology Sydney, Centre for Artificial Intelligence, Sydney, Australia

    Lakhmi C. Jain

  3. Faculty of Engineering, “Aurel Vlaicu” University of Arad, Arad, Arad, Romania

    Marius Mircea Balas

  4. Department of Information Technology and Programming, Azerbaijan Technical University, Baku, Azerbaijan

    Shahnaz N. Shahbazova

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Nicolau, V., Andrei, M. (2021). On Image Compression for Mobile Robots Using Feed-Forward Neural Networks. In: Balas, V., Jain, L., Balas, M., Shahbazova, S. (eds) Soft Computing Applications. SOFA 2018. Advances in Intelligent Systems and Computing, vol 1222. Springer, Cham. https://doi.org/10.1007/978-3-030-52190-5_8

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