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Image Retrieval Based on Color and Texture Feature Using Artificial Neural Network

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Emerging Trends and Applications in Information Communication Technologies (IMTIC 2012)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 281))

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Abstract

Content-based image retrieval CBIR is a technique that helps in searching a user desired information from a huge set of image files and interpret user intentions for the desired information. The retrieval of information is based on features of image like colour, shape, texture, annotation etc. Many of the existing methods focus on the feature extraction and to bridge up the gap between low level features and high level semantics. In this paper we propose a supervised machine learning (SML) using artificial neural network (ANN) and singular value decomposition (SVD) for image retrieval. Specifically we use back propagation algorithm (multilayer perceptron) (MLP) for training and testing our proposed model. Experimental results show that by changing parameters of feature vector back propagation method can have 62% precision instead of 49% as claimed by in Hyoung Ku LEE, Suk In Yoo [1].

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Author information

Authors and Affiliations

  1. Faculty of Engineering, Sciences and Technology, IQRA University, Karachi, Pakistan

    Sajjad Hussain, Manzoor Hashmani & Muhammad Moinuddin

  2. Broad Band Research Corporation, Osaka, Japan

    Mikio Yoshida & Hidenori Kanjo

Authors
  1. Sajjad Hussain
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  2. Manzoor Hashmani
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  3. Muhammad Moinuddin
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  4. Mikio Yoshida
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  5. Hidenori Kanjo
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Editor information

Editors and Affiliations

  1. Department of Electronics and Telecommunication Engineering, Faculty of Electrical, Electronics & Computer Engineering, Mehran UET, Jamshoro, Pakistan

    Bhawani Shankar Chowdhry

  2. Department of Telecommunication Engineering, Mehran University of Engineering and Technology, 76062, Jamshoro, Sindh, Pakistan

    Faisal Karim Shaikh

  3. Department of Software Engineering & Media Technology, Aalborg University, Niels Bohrs Vej 8, 6700, Esbjerg, Denmark

    Dil Muhammad Akbar Hussain

  4. Department of Electrical Engineering, Mehran University of Engineering and Technology, 76062, Jamshoro, Sindh, Pakistan

    Muhammad Aslam Uqaili

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© 2012 Springer-Verlag Berlin Heidelberg

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Hussain, S., Hashmani, M., Moinuddin, M., Yoshida, M., Kanjo, H. (2012). Image Retrieval Based on Color and Texture Feature Using Artificial Neural Network. In: Chowdhry, B.S., Shaikh, F.K., Hussain, D.M.A., Uqaili, M.A. (eds) Emerging Trends and Applications in Information Communication Technologies. IMTIC 2012. Communications in Computer and Information Science, vol 281. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28962-0_47

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  • DOI: https://doi.org/10.1007/978-3-642-28962-0_47

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-28961-3

  • Online ISBN: 978-3-642-28962-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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