Content Based Image Retrivel on Non-Parametric Statistical Tests of Hypothesis
S. Selvaraj1 , K. Seetharaman2
Section:Review Paper, Product Type: Journal Paper
Volume-7 ,
Issue-1 , Page no. 563-568, Jan-2019
CrossRef-DOI: https://doi.org/10.26438/ijcse/v7i1.563568
Online published on Jan 31, 2019
Copyright © S. Selvaraj, K. Seetharaman . 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: S. Selvaraj, K. Seetharaman, “Content Based Image Retrivel on Non-Parametric Statistical Tests of Hypothesis,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.1, pp.563-568, 2019.
MLA Style Citation: S. Selvaraj, K. Seetharaman "Content Based Image Retrivel on Non-Parametric Statistical Tests of Hypothesis." International Journal of Computer Sciences and Engineering 7.1 (2019): 563-568.
APA Style Citation: S. Selvaraj, K. Seetharaman, (2019). Content Based Image Retrivel on Non-Parametric Statistical Tests of Hypothesis. International Journal of Computer Sciences and Engineering, 7(1), 563-568.
BibTex Style Citation:
@article{Selvaraj_2019,
author = {S. Selvaraj, K. Seetharaman},
title = {Content Based Image Retrivel on Non-Parametric Statistical Tests of Hypothesis},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {1 2019},
volume = {7},
Issue = {1},
month = {1},
year = {2019},
issn = {2347-2693},
pages = {563-568},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=3543},
doi = {https://doi.org/10.26438/ijcse/v7i1.563568}
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i1.563568}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=3543
TI - Content Based Image Retrivel on Non-Parametric Statistical Tests of Hypothesis
T2 - International Journal of Computer Sciences and Engineering
AU - S. Selvaraj, K. Seetharaman
PY - 2019
DA - 2019/01/31
PB - IJCSE, Indore, INDIA
SP - 563-568
IS - 1
VL - 7
SN - 2347-2693
ER -
VIEWS | XML | |
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Abstract
The field of image processing is addressed significantly by the role of CBIR. Peculiar query is the main feature on which the image retrieval of content based problems is dependent. Relevant information is required for the submission of sketches or drawing and similar type of features. Many algorithms are used for the extraction of features which are related to similar nature. The process can be optimized by the use of feedback from the retrieval step. Analysis of color and shape can be done by the visual contents of image. Here neural network, Relevance feedback techniques based on image retrieval are discussed.
Key-Words / Index Term
CBIR, Hypothesis, Image Retrival, Image Processing, Extraction
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