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Texture Image Retrieval Based on Block Level Directional Local Extrema Patterns Using Tetrolet Transform

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Advances in Computing and Data Sciences (ICACDS 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 905))

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Abstract

This paper introduces a novel texture image retrieval technique based on block level processing using Tetrolet and optimized directional local extrema patterns. Texture image categorization is performed for uniform and non-uniform distribution of the intensities within the image. Texture features are extracted by using Tetrolet transform and directional local extrema pattern. Image is processed at block level for extracting these features. The main concept of this approach is to analyze the image at block level to get better results in retrieval process. During image search, each block is compared with the corresponding block of another image. Categorization of the images reduces the search space. Proposed approach uses spatial and spectral domain analysis of the image. Performance of proposed retrieval system is tested on the Brodatz and VisTex benchmark databases. Retrieval results show that the proposed technique performs better in terms of average retrieval rate in comparison to other state-of-the-art techniques.

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Authors and Affiliations

  1. Jaypee University of Engineering and Technology, Guna, Raghogarh, 473226, MP, India

    Ghanshyam Raghuwanshi & Vipin Tyagi

Authors
  1. Ghanshyam Raghuwanshi
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  2. Vipin Tyagi
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Corresponding author

Correspondence to Vipin Tyagi .

Editor information

Editors and Affiliations

  1. University of KwaZulu-Natal, Durban, South Africa

    Mayank Singh

  2. Jaypee University of Information Technology, Solan, India

    P. K. Gupta

  3. Jaypee University of Engineering and Technology, Guna, Madhya Pradesh, India

    Vipin Tyagi

  4. Institute of Information Theory and Automation, Prague 8, Czech Republic

    Jan Flusser

  5. University of Ottawa, Ottawa, Canada

    Tuncer Ören

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Raghuwanshi, G., Tyagi, V. (2018). Texture Image Retrieval Based on Block Level Directional Local Extrema Patterns Using Tetrolet Transform. In: Singh, M., Gupta, P., Tyagi, V., Flusser, J., Ören, T. (eds) Advances in Computing and Data Sciences. ICACDS 2018. Communications in Computer and Information Science, vol 905. Springer, Singapore. https://doi.org/10.1007/978-981-13-1810-8_45

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  • DOI: https://doi.org/10.1007/978-981-13-1810-8_45

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-1809-2

  • Online ISBN: 978-981-13-1810-8

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