Image processing module of an underwater robot agent for remote data collection

Vision system plays a crucial role in the field of underwater robotics and Oceanography, such as marine investigation and object detection. However, the quality of the underwater images captured is greatly impacted due to water turbidity, light scattering and absorption in the water. This issue wil...

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Main Author: Chau, Yuen Ling
Other Authors: Hu, Guoqiang
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2020
Subjects:
Online Access:https://hdl.handle.net/10356/145175
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1451752023-07-07T17:51:35Z Image processing module of an underwater robot agent for remote data collection Chau, Yuen Ling Hu, Guoqiang School of Electrical and Electronic Engineering GQHu@ntu.edu.sg Engineering::Electrical and electronic engineering Vision system plays a crucial role in the field of underwater robotics and Oceanography, such as marine investigation and object detection. However, the quality of the underwater images captured is greatly impacted due to water turbidity, light scattering and absorption in the water. This issue will affect the quality of data collected which leads to inefficient extraction of information. Hence, this report presents and discusses the proposed methods of Canny Edge Detector, Dark Channel Prior(DCP) and Contrast Limited Adaptive Histogram Equalization(CLAHE) to tackle the underwater haze and noise filter and enhancement of the underwater images to lead to a more efficient extraction of information. Algorithms and software modules such as Convolutional Neural Network (CNN) and Python will be used to process the underwater images. Bachelor of Engineering (Electrical and Electronic Engineering) 2020-12-14T11:57:40Z 2020-12-14T11:57:40Z 2020 Final Year Project (FYP) https://hdl.handle.net/10356/145175 en A1262-192 application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Electrical and electronic engineering
spellingShingle Engineering::Electrical and electronic engineering
Chau, Yuen Ling
Image processing module of an underwater robot agent for remote data collection
description Vision system plays a crucial role in the field of underwater robotics and Oceanography, such as marine investigation and object detection. However, the quality of the underwater images captured is greatly impacted due to water turbidity, light scattering and absorption in the water. This issue will affect the quality of data collected which leads to inefficient extraction of information. Hence, this report presents and discusses the proposed methods of Canny Edge Detector, Dark Channel Prior(DCP) and Contrast Limited Adaptive Histogram Equalization(CLAHE) to tackle the underwater haze and noise filter and enhancement of the underwater images to lead to a more efficient extraction of information. Algorithms and software modules such as Convolutional Neural Network (CNN) and Python will be used to process the underwater images.
author2 Hu, Guoqiang
author_facet Hu, Guoqiang
Chau, Yuen Ling
format Final Year Project
author Chau, Yuen Ling
author_sort Chau, Yuen Ling
title Image processing module of an underwater robot agent for remote data collection
title_short Image processing module of an underwater robot agent for remote data collection
title_full Image processing module of an underwater robot agent for remote data collection
title_fullStr Image processing module of an underwater robot agent for remote data collection
title_full_unstemmed Image processing module of an underwater robot agent for remote data collection
title_sort image processing module of an underwater robot agent for remote data collection
publisher Nanyang Technological University
publishDate 2020
url https://hdl.handle.net/10356/145175
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