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Optical Fiber Cables Networks Defects Detection using Thermal Images Enhancement Techniques

Hussam Elbehiery1

  1. Department of Computer Networks, Ahram Canadian University (ACU), Giza, Egypt.

Correspondence should be addressed to: hussam.elbehiery@gmail.com.


Section:Research Paper, Product Type: Isroset-Journal
Vol.6 , Issue.1 , pp.22-29, Feb-2018


CrossRef-DOI:   https://doi.org/10.26438/ijsrcse/v6i1.2229


Online published on Feb 28, 2018


Copyright © Hussam Elbehiery . 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: Hussam Elbehiery, “Optical Fiber Cables Networks Defects Detection using Thermal Images Enhancement Techniques,” International Journal of Scientific Research in Computer Science and Engineering, Vol.6, Issue.1, pp.22-29, 2018.

MLA Style Citation: Hussam Elbehiery "Optical Fiber Cables Networks Defects Detection using Thermal Images Enhancement Techniques." International Journal of Scientific Research in Computer Science and Engineering 6.1 (2018): 22-29.

APA Style Citation: Hussam Elbehiery, (2018). Optical Fiber Cables Networks Defects Detection using Thermal Images Enhancement Techniques. International Journal of Scientific Research in Computer Science and Engineering, 6(1), 22-29.

BibTex Style Citation:
@article{Elbehiery_2018,
author = {Hussam Elbehiery},
title = {Optical Fiber Cables Networks Defects Detection using Thermal Images Enhancement Techniques},
journal = {International Journal of Scientific Research in Computer Science and Engineering},
issue_date = {2 2018},
volume = {6},
Issue = {1},
month = {2},
year = {2018},
issn = {2347-2693},
pages = {22-29},
url = {https://www.isroset.org/journal/IJSRCSE/full_paper_view.php?paper_id=535},
doi = {https://doi.org/10.26438/ijcse/v6i1.2229}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i1.2229}
UR - https://www.isroset.org/journal/IJSRCSE/full_paper_view.php?paper_id=535
TI - Optical Fiber Cables Networks Defects Detection using Thermal Images Enhancement Techniques
T2 - International Journal of Scientific Research in Computer Science and Engineering
AU - Hussam Elbehiery
PY - 2018
DA - 2018/02/28
PB - IJCSE, Indore, INDIA
SP - 22-29
IS - 1
VL - 6
SN - 2347-2693
ER -

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Abstract :
Image enhancement is a process to output an image which is more suitable and useful than original image for specific application. Thermal image enhancement includes many techniques used in Quality Control, Problem Diagnostics, and Insurance Risk Assessment. Various enhancement schemes are used for enhancing an image which includes gray scale manipulation, filtering and Histogram Equalization (HE), Fast Fourier Transform which results in Highlighting interesting detail in images, removing noise from images, making images more visually appealing, edge enhancement and increase the contrast of the image. This research article explains how could the various stated techniques and operations will be useful in the detection of the defects for the optical fiber cables and their connectors and most of optical devices to be more effective in Optical fiber based communication systems.

Key-Words / Index Term :
Histogram Equalization, Linear Filtering, Adaptive Filtering, Fast Fourier Transform, 3D Shaded surface plot

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