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Choosing Geometric Dissimilarity Measure for Content Based Coral Reefs Image Retrieval

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Advances in Machine Learning and Signal Processing

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 387))

Abstract

The dissimilarity measure used by a Content-Based Image Retrieval (CBIR) system significantly affects its performance. Choosing the right dissimilarity measure is important especially when we have large low-level features to represent each image in the database. This paper presents the performance of various geometric distance measures for retrieval of images from a coral reefs database that consists of three groups of coral. Based on the results obtained by Precision-Recall graphs, there is no single distance measure that best for all queries. Therefore, Mean Average Precision is used to measure the overall performance, and the results showed that the top three best geometric distance measures for retrieving images from a coral database are the Squared Chord, City Block, and Canberra.

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Acknowledgments

We would like to thank Institute of Oceonography and Environment (INOS) for kindly sharing the coral reefs images.

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Authors and Affiliations

  1. School of Informatics and Applied Mathematics, Universiti Malaysia Terengganu, 21030, Kuala Terengganu, Terengganu Darul Iman, Malaysia

    Wan Nural Jawahir Hj Wan Yussof & Muhammad Suzuri Hitam

  2. Institute of Oceanography and Environment, Universiti Malaysia Terengganu, 21030, Kuala Terengganu, Terengganu Darul Iman, Malaysia

    Ezmahamrul Afreen Awalludin

  3. School of Marine and Environmental Sciences, Universiti Malaysia Terengganu, 21030, Kuala Terengganu, Terengganu Darul Iman, Malaysia

    Zainudin Bachok

Authors
  1. Wan Nural Jawahir Hj Wan Yussof
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  2. Muhammad Suzuri Hitam
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  3. Ezmahamrul Afreen Awalludin
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  4. Zainudin Bachok
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Corresponding author

Correspondence to Wan Nural Jawahir Hj Wan Yussof .

Editor information

Editors and Affiliations

  1. University Teknikal Malaysia Melaka, Durian Tunggal, Melaka, Malaysia

    Ping Jack Soh

  2. Singapore Campus, #05-01 SIT Building, Newcastle University, Singapore, Singapore

    Wai Lok Woo

  3. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia

    Hamzah Asyrani Sulaiman

  4. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia

    Mohd Azlishah Othman

  5. University Teknikal Malaysia Melaka, Durian Tunggal, Melaka, Malaysia

    Mohd Shakir Saat

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Hj Wan Yussof, W.N.J., Hitam, M.S., Awalludin, E.A., Bachok, Z. (2016). Choosing Geometric Dissimilarity Measure for Content Based Coral Reefs Image Retrieval. In: Soh, P., Woo, W., Sulaiman, H., Othman, M., Saat, M. (eds) Advances in Machine Learning and Signal Processing. Lecture Notes in Electrical Engineering, vol 387. Springer, Cham. https://doi.org/10.1007/978-3-319-32213-1_9

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  • DOI: https://doi.org/10.1007/978-3-319-32213-1_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-32212-4

  • Online ISBN: 978-3-319-32213-1

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