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Proceedings of the Second International Conference on Computer and Communication Technologies pp 427–435Cite as

A Survey on Texture Image Retrieval

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 381))

Abstract

Retrieving images from the large databases has always been one challenging problem in the area of image retrieval while maintaining the higher accuracy and lower computational time. Texture defines the roughness of a surface. For the last two decades due to the large extent of multimedia database, image retrieval has been a hot issue in image processing. Texture images are retrieved in a variety of ways. This paper presents a survey on various texture image retrieval methods. It provides a brief comparison of various texture image retrieval methods on the basis of retrieval accuracy and computation time with the benchmark databases. Image retrieval techniques vary with feature extraction methods and various distance measures. In this paper, we present a survey on various texture feature extraction methods by applying variants of wavelet transform. This survey paper facilitates the researchers with background of progress of image retrieval methods that will help researchers in the area to select the best method for texture image retrieval appropriate to their requirements.

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Authors and Affiliations

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

    Ghanshyam Raghuwanshi & Vipin Tyagi

Authors
  1. Ghanshyam Raghuwanshi
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  2. Vipin Tyagi
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Corresponding author

Correspondence to Ghanshyam Raghuwanshi .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Anil Neerukonda Institute of Technology and Sciences, Visakhapatnam, India

    Suresh Chandra Satapathy

  2. Department of CSE, CMR Technical Campus, Hyderabad, India

    K. Srujan Raju

  3. Computer Science & Engineering, Kalyani University, Nadia, West Bengal, India

    Jyotsna Kumar Mandal

  4. Electronics and Communication, Shri Ramswaroop Memorial Group of Professional Colleges, Lucknow, Uttar Pradesh, India

    Vikrant Bhateja

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© 2016 Springer India

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Raghuwanshi, G., Tyagi, V. (2016). A Survey on Texture Image Retrieval. In: Satapathy, S., Raju, K., Mandal, J., Bhateja, V. (eds) Proceedings of the Second International Conference on Computer and Communication Technologies. Advances in Intelligent Systems and Computing, vol 381. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2526-3_44

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  • DOI: https://doi.org/10.1007/978-81-322-2526-3_44

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-2525-6

  • Online ISBN: 978-81-322-2526-3

  • eBook Packages: EngineeringEngineering (R0)

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