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Recent Advances in Computer Vision pp 141–167Cite as

Feature Extraction of Color Images Using Quaternion Moments

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Part of the book series: Studies in Computational Intelligence ((SCI,volume 804))

Abstract

Color images play an essential role in computer vision systems where colors are useful information. Extraction of color images features is the backbone of many pattern recognition and image processing applications such classification of color images, color image retrieval, color image watermarking and template matching. Moments and moment invariants are widely used as global and local features for gray images. Quaternion moments are used in representation of color images. In this chapter, an overview of quaternion moments and their rotation, scaling and translation invariants is given. A series of numerical experiments are performed using different parameters to assess the performance of extracted features using different quaternion moments.

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Author information

Authors and Affiliations

  1. Department of Information Technology, Faculty of Computers and Informatics Zagazig University, Zagazig, 44519, Egypt

    Khalid M. Hosny

  2. Mathematics Department, Faculty of Science Assiut University, Assiut, 71516, Egypt

    Mohamed M. Darwish

Authors
  1. Khalid M. Hosny
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  2. Mohamed M. Darwish
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Corresponding author

Correspondence to Khalid M. Hosny .

Editor information

Editors and Affiliations

  1. Department of Computer Science, South Valley University, Luxor, Egypt

    Mahmoud Hassaballah

  2. Department of Information Technology, Zagazig University, Zagazig, Egypt

    Khalid M. Hosny

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Hosny, K.M., Darwish, M.M. (2019). Feature Extraction of Color Images Using Quaternion Moments. In: Hassaballah, M., Hosny, K. (eds) Recent Advances in Computer Vision. Studies in Computational Intelligence, vol 804. Springer, Cham. https://doi.org/10.1007/978-3-030-03000-1_6

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