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Proceedings of International Conference on Computer Vision and Image Processing pp 323–333Cite as

Road Surface Classification Using Texture Synthesis Based on Gray-Level Co-occurrence Matrix

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 459))

Abstract

Advance Driving Assistance System (ADAS) has been a growing area of interest in the research community for automotive domain where scene understanding and modeling is one of the principally focus area of activities. Texture synthesis using gray-level co-occurrence matrix (GLCM) of any rigid body is not an exceptional task in image processing area. The additional integration of this method is for texture characterization and use it for the road surface classifications which is the primary focus of this paper. We have also introduced that GLCM based road surface analysis in a line scan manner that can be used as a module for ADAS application.

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Acknowledgments

The work has supported by Computer Vision and Image Processing Lab of Kritikal Solutions Pvt. Ltd., Bangalore, India.

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Authors and Affiliations

  1. Computer Vision and Image Processing Unit, Kritikal Solutions Pvt. Ltd, Bangalore, India

    Somnath Mukherjee & Saurabh Pandey

Authors
  1. Somnath Mukherjee
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  2. Saurabh Pandey
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Corresponding author

Correspondence to Somnath Mukherjee .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India

    Balasubramanian Raman

  2. Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India

    Sanjeev Kumar

  3. Department of Computer Science and Engineering, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India

    Partha Pratim Roy

  4. Department of Computer Science and Engineering, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India

    Debashis Sen

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Mukherjee, S., Pandey, S. (2017). Road Surface Classification Using Texture Synthesis Based on Gray-Level Co-occurrence Matrix. In: Raman, B., Kumar, S., Roy, P., Sen, D. (eds) Proceedings of International Conference on Computer Vision and Image Processing. Advances in Intelligent Systems and Computing, vol 459. Springer, Singapore. https://doi.org/10.1007/978-981-10-2104-6_29

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  • DOI: https://doi.org/10.1007/978-981-10-2104-6_29

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-2103-9

  • Online ISBN: 978-981-10-2104-6

  • eBook Packages: EngineeringEngineering (R0)

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