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International Conference on ISMAC in Computational Vision and Bio-Engineering

ISMAC 2018: Proceedings of the International Conference on ISMAC in Computational Vision and Bio-Engineering 2018 (ISMAC-CVB) pp 275–282Cite as

Gray-Level Feature Based Approach for Correspondence Matching and Elimination of False Matches

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Part of the book series: Lecture Notes in Computational Vision and Biomechanics ((LNCVB,volume 30))

Abstract

Matching of interest points (feature points) is a basic and very essential step for many image processing applications. Depending on the accuracy of the matches, the quality of the final application is decided. There are various methods proposed to tackle the problem of correspondence matching. In this paper, a method that makes use of the textural features, mainly gray-level features with respect to a pixel’s neighborhood has been discussed for point matching with an emphasis on its use for image registration. Feature points are obtained from the images under consideration using SURF and are matched using gray-level features. Then, the false matches are removed using a graph-based approach.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore, India

    R. Akshaya & Hema P. Menon

Authors
  1. R. Akshaya
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  2. Hema P. Menon
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Corresponding author

Correspondence to Hema P. Menon .

Editor information

Editors and Affiliations

  1. SCAD Institute of Technology, Palladam, India

    Durai Pandian

  2. Department of Electrical and Computer Engineering, Ryerson University, Toronto, ON, Canada

    Xavier Fernando

  3. School of Computer and Security Science, Edith Cowan University, Joondalup, WA, Australia

    Zubair Baig

  4. Wenzhou Medical University, Wenzhou, China

    Fuqian Shi

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Akshaya, R., Menon, H.P. (2019). Gray-Level Feature Based Approach for Correspondence Matching and Elimination of False Matches. In: Pandian, D., Fernando, X., Baig, Z., Shi, F. (eds) Proceedings of the International Conference on ISMAC in Computational Vision and Bio-Engineering 2018 (ISMAC-CVB). ISMAC 2018. Lecture Notes in Computational Vision and Biomechanics, vol 30. Springer, Cham. https://doi.org/10.1007/978-3-030-00665-5_28

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  • DOI: https://doi.org/10.1007/978-3-030-00665-5_28

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-00664-8

  • Online ISBN: 978-3-030-00665-5

  • eBook Packages: EngineeringEngineering (R0)

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