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Efficient Content Based Image Retrieval Using Fuzzy Approach

Dahale Sunil V.1 , Thorat S.B.2 , P.K. Butey3 , M.P. Dhore4

  1. Mahatma Gandhi Mission’s College of Computer Science and IT, Nanded, India.
  2. Director, SSBES Institute of Technology and Management, Nanded, India.
  3. Head of Department CS, Kamla Nehru Mahavidyalaya, Nagpur, India.
  4. Department of Electronics and Computer Science, Rashtrasant Tukadoji Maharaj (Nagpur University), Nagpur, India.

Correspondence should be addressed to: sunildahale@rediffmail.com.

Section:Research Paper, Product Type: Journal Paper
Volume-5 , Issue-10 , Page no. 38-43, Oct-2017

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v5i10.3843

Online published on Oct 30, 2017

Copyright © Dahale Sunil V., Thorat S.B., P.K. Butey, M.P. Dhore . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Dahale Sunil V., Thorat S.B., P.K. Butey, M.P. Dhore, “Efficient Content Based Image Retrieval Using Fuzzy Approach,” International Journal of Computer Sciences and Engineering, Vol.5, Issue.10, pp.38-43, 2017.

MLA Style Citation: Dahale Sunil V., Thorat S.B., P.K. Butey, M.P. Dhore "Efficient Content Based Image Retrieval Using Fuzzy Approach." International Journal of Computer Sciences and Engineering 5.10 (2017): 38-43.

APA Style Citation: Dahale Sunil V., Thorat S.B., P.K. Butey, M.P. Dhore, (2017). Efficient Content Based Image Retrieval Using Fuzzy Approach. International Journal of Computer Sciences and Engineering, 5(10), 38-43.

BibTex Style Citation:
@article{V._2017,
author = {Dahale Sunil V., Thorat S.B., P.K. Butey, M.P. Dhore},
title = {Efficient Content Based Image Retrieval Using Fuzzy Approach},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {10 2017},
volume = {5},
Issue = {10},
month = {10},
year = {2017},
issn = {2347-2693},
pages = {38-43},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=1475},
doi = {https://doi.org/10.26438/ijcse/v5i10.3843}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v5i10.3843}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=1475
TI - Efficient Content Based Image Retrieval Using Fuzzy Approach
T2 - International Journal of Computer Sciences and Engineering
AU - Dahale Sunil V., Thorat S.B., P.K. Butey, M.P. Dhore
PY - 2017
DA - 2017/10/30
PB - IJCSE, Indore, INDIA
SP - 38-43
IS - 10
VL - 5
SN - 2347-2693
ER -

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Abstract

Content based image retrieval (CBIR) has been one of the significant research areas in computer science in the recent time. Various feature like Texture, color & shape are used in CBIR for image retrieval. Basically, color is the most striking feature in the content based image retrieval. Different extraction methods are used in content based image retrieval (CBIR). A retrieval method which is based on color histogram by using fuzzy inference system approach is proposed in this paper. We propose a fuzzy rule based approach with27 rules, for effective image retrieval. The experimental results show the robustness and the efficiency of the proposed system for CBIR.

Key-Words / Index Term

CBIR, Fuzzy, Fuzzy Inference System ,Color Histogram

References

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