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A Modelling of Stereo Matching Algorithm for Machine Vision Application

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Advances in Material Sciences and Engineering

Part of the book series: Lecture Notes in Mechanical Engineering ((LNME))

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Abstract

Stereo matching algorithm is a part of machine vision research area. The most challenging issue for stereo matching algorithm is to get an accurate corresponding point on the low texture region. Hence, this article proposes an algorithm utilizing the Sum of Absolute Differences (SAD), gradient matching and Bilateral Filter (BF) to increase the accuracy on this region. The combination of SAD with Red, Green and Blue (RGB) channels differences and gradient matching could improve the matching accuracy on the low texture region. Furthermore, the use of edge preserving filter such as BF that is capable to refine and remove the remaining noise on the final result. This filter is robust against high contrast and brightness. Based on the experimental analysis using standard benchmarking dataset from the Middlebury, the proposed work in this article achieves good accuracy on the low texture region. The comparison is also conducted with some established methods where the proposed framework performs much better.

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Acknowledgements

This work was supported by the Universiti Teknikal Malaysia Melaka with the grant number (PJP/2018/FTK(13C)/S01632).

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Authors and Affiliations

  1. Fakulti Teknologi Kejuruteraan Elektrik Dan Elektronik, Universiti Teknikal Malaysia Melaka, 76100, Durian Tunggal, Melaka, Malaysia

    Rostam Affendi Hamzah, A. F. Kadmin, S. F. Abd Gani, N. Mohamood, A N. A. Jahari, T. M. F. T. Wook & S. Salam

Authors
  1. Rostam Affendi Hamzah
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  2. A. F. Kadmin
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  3. S. F. Abd Gani
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  4. N. Mohamood
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  5. A N. A. Jahari
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  6. T. M. F. T. Wook
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  7. S. Salam
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Corresponding author

Correspondence to Rostam Affendi Hamzah .

Editor information

Editors and Affiliations

  1. Department of Mechanical Engineering, Universiti Teknologi PETRONAS, Seri Iskandar, Perak, Malaysia

    Mokhtar Awang

  2. Department of Mechanical Engineering, Universiti Teknologi PETRONAS, Seri Iskandar, Perak, Malaysia

    Seyed Sattar Emamian

  3. Department of Mechanical Engineering, University of Malaya, Kuala Lumpur, Malaysia

    Farazila Yusof

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Hamzah, R.A. et al. (2020). A Modelling of Stereo Matching Algorithm for Machine Vision Application. In: Awang, M., Emamian, S., Yusof, F. (eds) Advances in Material Sciences and Engineering. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-13-8297-0_52

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  • DOI: https://doi.org/10.1007/978-981-13-8297-0_52

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-8296-3

  • Online ISBN: 978-981-13-8297-0

  • eBook Packages: EngineeringEngineering (R0)

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