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A New Approach in Content-Based Image Retrieval Neutrosophic Domain

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Fuzzy Multi-criteria Decision-Making Using Neutrosophic Sets

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 369))

Abstract

The aim of this chapter is to present texture features for images embedded in the neutrosophic domain with Hesitancy degree . Hesitancy degree is the fourth component of neutrosophic sets. The goal is to extract a set of features to represent the content of each image in the training database to be used for the purpose of retrieving images from the database similar to the image under consideration.

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Author information

Authors and Affiliations

  1. Department of Mathematics and Computer Science, Faculty of Science, Port Said University, Port Fouad, Egypt

    A. A. Salama

  2. Computer Science Department, Higher Institute of Management and Computer, Port Said University, Port Fouad, Egypt

    Mohamed Eisa & A. E. Fawzy

  3. Physics and Engineering Mathematics Department, Faculty of Engineering, Port Said University, Port Fouad, Egypt

    Hewayda ElGhawalby

Authors
  1. A. A. Salama
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  2. Mohamed Eisa
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  3. Hewayda ElGhawalby
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  4. A. E. Fawzy
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Corresponding author

Correspondence to A. A. Salama .

Editor information

Editors and Affiliations

  1. Department of Industrial Engineering, Istanbul Technical University, Macka, Istanbul, Turkey

    Cengiz Kahraman

  2. Department of Industrial Engineering, Istanbul Okan University, Akfirat-Tuzla, Istanbul, Turkey

    İrem Otay

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Salama, A.A., Eisa, M., ElGhawalby, H., Fawzy, A.E. (2019). A New Approach in Content-Based Image Retrieval Neutrosophic Domain. In: Kahraman, C., Otay, İ. (eds) Fuzzy Multi-criteria Decision-Making Using Neutrosophic Sets. Studies in Fuzziness and Soft Computing, vol 369. Springer, Cham. https://doi.org/10.1007/978-3-030-00045-5_14

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