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Performance evaluation of Invariant moment features on Image retrieval

Ravinder Kumar1 , Brajesh Kumar Singh2

  1. Department of CSE, HMR Institute of Technology and Management, Affiliated with GGSIPU, Delhi, INDIA.
  2. USICT, GGSIP University, New Delhi, INDIA.

Correspondence should be addressed to: ravinder_y@yahoo.com.

Section:Research Paper, Product Type: Journal Paper
Volume-5 , Issue-12 , Page no. 73-78, Dec-2017

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v5i12.7378

Online published on Dec 31, 2017

Copyright © Ravinder Kumar, Brajesh Kumar 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: Ravinder Kumar, Brajesh Kumar Singh, “Performance evaluation of Invariant moment features on Image retrieval,” International Journal of Computer Sciences and Engineering, Vol.5, Issue.12, pp.73-78, 2017.

MLA Style Citation: Ravinder Kumar, Brajesh Kumar Singh "Performance evaluation of Invariant moment features on Image retrieval." International Journal of Computer Sciences and Engineering 5.12 (2017): 73-78.

APA Style Citation: Ravinder Kumar, Brajesh Kumar Singh, (2017). Performance evaluation of Invariant moment features on Image retrieval. International Journal of Computer Sciences and Engineering, 5(12), 73-78.

BibTex Style Citation:
@article{Kumar_2017,
author = {Ravinder Kumar, Brajesh Kumar Singh},
title = {Performance evaluation of Invariant moment features on Image retrieval},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {12 2017},
volume = {5},
Issue = {12},
month = {12},
year = {2017},
issn = {2347-2693},
pages = {73-78},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=1583},
doi = {https://doi.org/10.26438/ijcse/v5i12.7378}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v5i12.7378}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=1583
TI - Performance evaluation of Invariant moment features on Image retrieval
T2 - International Journal of Computer Sciences and Engineering
AU - Ravinder Kumar, Brajesh Kumar Singh
PY - 2017
DA - 2017/12/31
PB - IJCSE, Indore, INDIA
SP - 73-78
IS - 12
VL - 5
SN - 2347-2693
ER -

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Abstract

Now a day the database is increases into hues size of database in multimedia and internet technology, so data science and content Based Image Retrieval (CBIR) system is an important research area since last few years. There are so many models of CBIR have been proposed by various author to retrieve images from huge database. In this work, we present a CBIR system using HU’s seven Invariant moment feature and measures the performance of system in MATLAB. The similarity between query image and database image is measure by Euclidian distance method and the efficiency of system is measure by calculating the precision and recall. All the experimental results are performed on five different standard datasets on 450 images.

Key-Words / Index Term

Invariant moment, Data science, CBIR, Euclidian distance

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