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Image Indexing System Using Texture Mining

Pratap Singh Patwal1 , Jitendra Kumar Tyagi2 , Garima Yadav3

  1. Dept CSE, Institute of Engineering and Technology,Alwar.
  2. Dept CSE, Institute of Engineering and Technology,Alwar.
  3. Dept CSE, Institute of Engineering and Technology,Alwar.

Section:Research Paper, Product Type: Journal Paper
Volume-6 , Issue-5 , Page no. 357-360, May-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i5.357360

Online published on May 31, 2018

Copyright © Pratap Singh Patwal, Jitendra Kumar Tyagi, Garima Yadav . 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: Pratap Singh Patwal, Jitendra Kumar Tyagi, Garima Yadav, “Image Indexing System Using Texture Mining,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.5, pp.357-360, 2018.

MLA Style Citation: Pratap Singh Patwal, Jitendra Kumar Tyagi, Garima Yadav "Image Indexing System Using Texture Mining." International Journal of Computer Sciences and Engineering 6.5 (2018): 357-360.

APA Style Citation: Pratap Singh Patwal, Jitendra Kumar Tyagi, Garima Yadav, (2018). Image Indexing System Using Texture Mining. International Journal of Computer Sciences and Engineering, 6(5), 357-360.

BibTex Style Citation:
@article{Patwal_2018,
author = {Pratap Singh Patwal, Jitendra Kumar Tyagi, Garima Yadav},
title = {Image Indexing System Using Texture Mining},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2018},
volume = {6},
Issue = {5},
month = {5},
year = {2018},
issn = {2347-2693},
pages = {357-360},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=1985},
doi = {https://doi.org/10.26438/ijcse/v6i5.357360}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i5.357360}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=1985
TI - Image Indexing System Using Texture Mining
T2 - International Journal of Computer Sciences and Engineering
AU - Pratap Singh Patwal, Jitendra Kumar Tyagi, Garima Yadav
PY - 2018
DA - 2018/05/31
PB - IJCSE, Indore, INDIA
SP - 357-360
IS - 5
VL - 6
SN - 2347-2693
ER -

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Abstract

The aim of this research to work on new methods of image feature extraction, image retrieval and feature vector indexing. This research work presents a new weighted histogram based statistical features, which integrate the pixel spatial distribution information into a numerical value. As a fundamental retrieval method, it can easily be integrated with multidimensional R- Tree indexing method. The experiment results show that this method is still effective when the data scale is very large, and it has superior scalability than traditional indexing methods. We analyzed the performance of the system under four classes of different database environment.

Key-Words / Index Term

Tamura , Texture , Content based, R-Tree, Indexing

References

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