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Content Based Image Retrieval Using Extended Local Tetra Patterns

Aasish Sipani1 , Phani Krishna2 , Sarath Chandra3

Section:Research Paper, Product Type: Journal Paper
Volume-2 , Issue-11 , Page no. 11-17, Nov-2014

Online published on Nov 30, 2014

Copyright © Aasish Sipani, Phani Krishna , Sarath Chandra . 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: Aasish Sipani, Phani Krishna , Sarath Chandra, “Content Based Image Retrieval Using Extended Local Tetra Patterns,” International Journal of Computer Sciences and Engineering, Vol.2, Issue.11, pp.11-17, 2014.

MLA Style Citation: Aasish Sipani, Phani Krishna , Sarath Chandra "Content Based Image Retrieval Using Extended Local Tetra Patterns." International Journal of Computer Sciences and Engineering 2.11 (2014): 11-17.

APA Style Citation: Aasish Sipani, Phani Krishna , Sarath Chandra, (2014). Content Based Image Retrieval Using Extended Local Tetra Patterns. International Journal of Computer Sciences and Engineering, 2(11), 11-17.

BibTex Style Citation:
@article{Sipani_2014,
author = {Aasish Sipani, Phani Krishna , Sarath Chandra},
title = {Content Based Image Retrieval Using Extended Local Tetra Patterns},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {11 2014},
volume = {2},
Issue = {11},
month = {11},
year = {2014},
issn = {2347-2693},
pages = {11-17},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=293},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=293
TI - Content Based Image Retrieval Using Extended Local Tetra Patterns
T2 - International Journal of Computer Sciences and Engineering
AU - Aasish Sipani, Phani Krishna , Sarath Chandra
PY - 2014
DA - 2014/11/30
PB - IJCSE, Indore, INDIA
SP - 11-17
IS - 11
VL - 2
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 texture 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 additional features like Moment Invariants and Color moments. 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

Content Based Image Retrieval (CBIR), Local Tetra Patterns (LTrP), Gabor Filters, Histogram Equalization, Moment Invariants

References

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[2] Subrahmanyam Murala, R. P. Maheshwari and R. Balasubramanian, “Local Tetra Patterns: A New Feature Descriptor for Content-Based Image Retrieval” in IEEE Transactions on Image Processing, Vol. 21, No. 5, pp 2874 - 2886 May. 2012.
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