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Content-Based Image Retrieval Using Extended Local Tetra Patterns

Deepika Choudhary1 , Amit 2 , Suraj Malik3 , Pankaj Pratap Singh4

Section:Research Paper, Product Type: Journal Paper
Volume-7 , Issue-2 , Page no. 91-96, Feb-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i2.9196

Online published on Feb 28, 2019

Copyright © Deepika Choudhary, Amit, Suraj Malik, Pankaj Pratap Singh . 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: Deepika Choudhary, Amit, Suraj Malik, Pankaj Pratap Singh, “Content-Based Image Retrieval Using Extended Local Tetra Patterns,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.2, pp.91-96, 2019.

MLA Style Citation: Deepika Choudhary, Amit, Suraj Malik, Pankaj Pratap Singh "Content-Based Image Retrieval Using Extended Local Tetra Patterns." International Journal of Computer Sciences and Engineering 7.2 (2019): 91-96.

APA Style Citation: Deepika Choudhary, Amit, Suraj Malik, Pankaj Pratap Singh, (2019). Content-Based Image Retrieval Using Extended Local Tetra Patterns. International Journal of Computer Sciences and Engineering, 7(2), 91-96.

BibTex Style Citation:
@article{Choudhary_2019,
author = {Deepika Choudhary, Amit, Suraj Malik, Pankaj Pratap Singh},
title = {Content-Based Image Retrieval Using Extended Local Tetra Patterns},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {2 2019},
volume = {7},
Issue = {2},
month = {2},
year = {2019},
issn = {2347-2693},
pages = {91-96},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=3624},
doi = {https://doi.org/10.26438/ijcse/v7i2.9196}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i2.9196}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=3624
TI - Content-Based Image Retrieval Using Extended Local Tetra Patterns
T2 - International Journal of Computer Sciences and Engineering
AU - Deepika Choudhary, Amit, Suraj Malik, Pankaj Pratap Singh
PY - 2019
DA - 2019/02/28
PB - IJCSE, Indore, INDIA
SP - 91-96
IS - 2
VL - 7
SN - 2347-2693
ER -

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Abstract

In this modern world, finding the desired image from huge databases has been a vital problem. Content Based Image Retrieval is an efficient method to do this. Many textures based CBIR methods have been proposed so far, for better and efficient image retrieval. We aim to give a better image retrieval method by extending the Local Tetra Patterns (LTrP) for CBIR using texture classification by using extended version of LTrP. These features give additional information about the color and rotational invariance. So an improvement in the efficiency of image retrieval using CBIR is expected.

Key-Words / Index Term

Local binary Patterns, Content Based Image Retrieval (CBIR), Local Ternary Patterns (LTP), Local Tetra Patterns (LTrP), Extended Local Tetra Pattern (ELTrP), Histogram Equalization

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