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Retrieval of Images Using Data Mining Techniques

Priyanka Rawat1 , Shilpa Sethi2

Section:Research Paper, Product Type: Journal Paper
Volume-6 , Issue-12 , Page no. 272-276, Dec-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i12.272276

Online published on Dec 31, 2018

Copyright © Priyanka Rawat, Shilpa Sethi . 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: Priyanka Rawat, Shilpa Sethi, “Retrieval of Images Using Data Mining Techniques,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.12, pp.272-276, 2018.

MLA Style Citation: Priyanka Rawat, Shilpa Sethi "Retrieval of Images Using Data Mining Techniques." International Journal of Computer Sciences and Engineering 6.12 (2018): 272-276.

APA Style Citation: Priyanka Rawat, Shilpa Sethi, (2018). Retrieval of Images Using Data Mining Techniques. International Journal of Computer Sciences and Engineering, 6(12), 272-276.

BibTex Style Citation:
@article{Rawat_2018,
author = {Priyanka Rawat, Shilpa Sethi},
title = {Retrieval of Images Using Data Mining Techniques},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {12 2018},
volume = {6},
Issue = {12},
month = {12},
year = {2018},
issn = {2347-2693},
pages = {272-276},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=3329},
doi = {https://doi.org/10.26438/ijcse/v6i12.272276}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i12.272276}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=3329
TI - Retrieval of Images Using Data Mining Techniques
T2 - International Journal of Computer Sciences and Engineering
AU - Priyanka Rawat, Shilpa Sethi
PY - 2018
DA - 2018/12/31
PB - IJCSE, Indore, INDIA
SP - 272-276
IS - 12
VL - 6
SN - 2347-2693
ER -

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Abstract

This paper presents the Content Based Image Retrieval System .The Content Based Image retrieval (CBIR) is up-and-coming exploring area that deals with image retrieval using visual feature extraction, multidimensional indexing, and retrieval system design. Color, Texture and Shape information have been the primitive image descriptors in content based image retrieval systems. The goal is to retrieve the images from the database. Database contains lot of images which belongs to different categories. There are several methods to retrieve the images from large dataset, but they have some drawbacks. In this paper, techniques like clustering, association rules mining are used to mine the data. This paper also uses the fusion of multimodal features like visual and textual features. The proposed approach is simple and shows good results in term of efficiency.

Key-Words / Index Term

Content based image retrieval, k-clustering, Association rule mining

References

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