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Region Based Multiple Features for an Effective Content Based Access Medical Image Retrieval an Integrated with Relevance Feedback Approach

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Swarm, Evolutionary, and Memetic Computing (SEMCCO 2015)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9873))

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Abstract

An efficient Content-based medical image retrieval (CBMIR) system is imperative to browse the entire database to locate required medical image. This paper proposes an effective scheme includes the detection of the boundary of the image followed by exploring the content of the interior boundary region with the help of multiple features. The proposed technique integrates the Texture, Shape features and the relevance feedback mechanism. Differentiate of Gabor Filter used for Texture feature extraction and Moments extract the Region based shape features. The Euclidean distance is used for similarity measure and then these distances are sorted out and ranked. The Recall rate of the medical retrieval system has been enhanced by adapting Relevance Feedback mechanism. The efficiency of the proposed method has been evaluated by using a huge data base by employing multiple features and integrating with Relevance feedback approach. Correspondingly, the Recall Rate has been enormously enhanced and Error Rate has been reduced as compared to the existing classical retrieval methods.

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Authors and Affiliations

  1. Department of ECE, MRCET, JNTUH, Hyderabad, India

    B. Jyothi

  2. Department of ECE, MRECW, JNTUH, Hyderabad, India

    Y. MadhaveeLatha

  3. Department of ECE, IARE, Hyderabad, India

    P. G. Krishna Mohan

  4. Department of ECE, MRCET, Hyderabad, India

    V. S. K. Reddy

Authors
  1. B. Jyothi
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  2. Y. MadhaveeLatha
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  3. P. G. Krishna Mohan
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  4. V. S. K. Reddy
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Corresponding author

Correspondence to B. Jyothi .

Editor information

Editors and Affiliations

  1. IIT, New Dehli, India

    Bijaya Ketan Panigrahi

  2. Nanyang Technological University, Singapore, Singapore

    Ponnuthurai Nagaratnam Suganthan

  3. Indian Statistical Institute, Kolkata, India

    Swagatam Das

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

    Suresh Chandra Satapathy

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Jyothi, B., MadhaveeLatha, Y., Krishna Mohan, P.G., Reddy, V.S.K. (2016). Region Based Multiple Features for an Effective Content Based Access Medical Image Retrieval an Integrated with Relevance Feedback Approach. In: Panigrahi, B., Suganthan, P., Das, S., Satapathy, S. (eds) Swarm, Evolutionary, and Memetic Computing. SEMCCO 2015. Lecture Notes in Computer Science(), vol 9873. Springer, Cham. https://doi.org/10.1007/978-3-319-48959-9_16

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  • DOI: https://doi.org/10.1007/978-3-319-48959-9_16

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-48958-2

  • Online ISBN: 978-3-319-48959-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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