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Object Detection and Filtering Techniques of Underwater Images : A Review

a Martin1 , Nishchol Mishra2

Section:Review Paper, Product Type: Journal Paper
Volume-7 , Issue-9 , Page no. 102-107, Sep-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i9.102107

Online published on Sep 30, 2019

Copyright © Martina Martin, Nishchol Mishra . 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: Martina Martin, Nishchol Mishra, “Object Detection and Filtering Techniques of Underwater Images : A Review,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.9, pp.102-107, 2019.

MLA Style Citation: Martina Martin, Nishchol Mishra "Object Detection and Filtering Techniques of Underwater Images : A Review." International Journal of Computer Sciences and Engineering 7.9 (2019): 102-107.

APA Style Citation: Martina Martin, Nishchol Mishra, (2019). Object Detection and Filtering Techniques of Underwater Images : A Review. International Journal of Computer Sciences and Engineering, 7(9), 102-107.

BibTex Style Citation:
@article{Martin_2019,
author = {Martina Martin, Nishchol Mishra},
title = {Object Detection and Filtering Techniques of Underwater Images : A Review},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {9 2019},
volume = {7},
Issue = {9},
month = {9},
year = {2019},
issn = {2347-2693},
pages = {102-107},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=4858},
doi = {https://doi.org/10.26438/ijcse/v7i9.102107}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i9.102107}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=4858
TI - Object Detection and Filtering Techniques of Underwater Images : A Review
T2 - International Journal of Computer Sciences and Engineering
AU - Martina Martin, Nishchol Mishra
PY - 2019
DA - 2019/09/30
PB - IJCSE, Indore, INDIA
SP - 102-107
IS - 9
VL - 7
SN - 2347-2693
ER -

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Abstract

As going deep under the water nothing can be seen properly as well as it is difficult to identify any substance residing or present under water. This survey basically focuses on the detection of the underwater image which are taken through various self-ruling submerged vehicles and remotely controlled vehicles, in order to improve the quality of the pictures. The factors include the low contrast, blur, non-uniform lighting and faded colors. This paper analyzed an image enhancement technique alon

Key-Words / Index Term

Offshore, underwater image restoration, under water imaging, underwater optical model

References

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