Research on Recognition Method of Optical Detection Image of Underwater Robot for Submarine Cable

Chen, Bin; Li, Rong; Bai, Wanjian; Zhang, Xun; Li, Jianxiang; Guo, Rui

doi:10.1109/imcec46724.2019.8984079

Cited by 7 publications

(6 citation statements)

References 2 publications

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“…Edge detection is to create grey values of the pixels around the edge and edge recognition is to detect the edge line of the image. The original image undertakes 5 stages to be processed according to underwater optical image processing technique as summarized in Figure 8 [65]. Underwater optical imaging enhancement techniques can be classified into two types of methods, hardware, and software method.…”

Section: Underwater Optical Imagingmentioning

confidence: 99%

“…A work in Chen et al, [65] presents optical detection of underwater robots for submarine cables by using image recognition. A model called "UNCLES" for UNderwater Camera Light Experimental System has been developed by the Visibility Laboratory, at the Scripps Institution of Oceanography, U. C. San Diego [85].…”

Section: Narrow Beammentioning

confidence: 99%

“…However, the main challenge for underwater optical imaging is absorption and scattering properties in seawater, single image coverage which is limited to a few square meters, produce poor quality of the image and also increase noise interference [64,65]. Both challenges will lead to degradation of the underwater videos or images quality where scattering will blur the image produced and absorption will produce colour distortion, contrast and also brightness reduction [62].…”

Section: Narrow Beammentioning

confidence: 99%

See 2 more Smart Citations

Advancement of Underwater Surveying and Scanning Techniques: A Review

Wan Hafiza,

Mahfuzah Md Shukor,

Faezah Jasman

et al. 2024

ARASET

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Underwater scanning and surveying (USS) play a significant role in tactical surveillance, offshore explorations, climate change monitoring, and oceanography research. USS are required to accurately obtain the 3-D geometry information of an underwater object and determine the underwater area of interest respectively. This paper reviews the state-of-the-art USS by discussing the operations, characters, advantages and disadvantages of the sensors used in each of the techniques. The paper classifies the sensors based on the carrier signals which are acoustics and optical signals. The hybrid technique is then proposed by integrating acoustics and optical approaches for the scanning technology and utilizing artificial intelligence and OWC technologies to improve the system’s accuracy and latency. The structured review of these techniques will give insight into the future advancement of USS and improve its quality of service.

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Section: Underwater Optical Imagingmentioning

confidence: 99%

Section: Narrow Beammentioning

confidence: 99%

Section: Narrow Beammentioning

confidence: 99%

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Advancement of Underwater Surveying and Scanning Techniques: A Review

Wan Hafiza,

Mahfuzah Md Shukor,

Faezah Jasman

et al. 2024

ARASET

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“…Thus, additional strategies for image quality enhancement were applied. Traditional image-processing techniques assume grayscaled image processing in order to eliminate processing complexity and enhance object detection accuracy [ 88 , 89 ]. With the latest advances in video and image acquisition technologies, this group of methods became more popular due to cheaper hardware and the possibility to implement novel data-processing algorithms, providing reliable results even with low-quality optical images.…”

Section: Maritime-specific Sensors and Nonintrusive Object Inspectionmentioning

confidence: 99%

The Use of Terrestrial and Maritime Autonomous Vehicles in Nonintrusive Object Inspection

Mamchur

Pekša

Kolodinskis

et al. 2022

Sensors

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Traditional nonintrusive object inspection methods are complex or extremely expensive to apply in certain cases, such as inspection of enormous objects, underwater or maritime inspection, an unobtrusive inspection of a crowded place, etc. With the latest advances in robotics, autonomous self-driving vehicles could be applied for this task. The present study is devoted to a review of the existing and novel technologies and methods of using autonomous self-driving vehicles for nonintrusive object inspection. Both terrestrial and maritime self-driving vehicles, their typical construction, sets of sensors, and software algorithms used for implementing self-driving motion were analyzed. The standard types of sensors used for nonintrusive object inspection in security checks at the control points, which could be successfully implemented at self-driving vehicles, along with typical areas of implementation of such vehicles, were reviewed, analyzed, and classified.

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“…Underwater images play critical roles in diverse marine-related military and scientific applications, such as seabed sediment classification [1], submarine cable detection [2], and mine recognition [3]. However, the complex underwater environment limits the use of camera devices, including Kinect units [4] and binocular stereo cameras [5], which makes it difficult to obtain real underwater images.…”

Section: Introductionmentioning

confidence: 99%

Underwater Image Translation via Multi-Scale Generative Adversarial Network

Yang,

Zhang,

et al. 2023

JMSE

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The role that underwater image translation plays assists in generating rare images for marine applications. However, such translation tasks are still challenging due to data lacking, insufficient feature extraction ability, and the loss of content details. To address these issues, we propose a novel multi-scale image translation model based on style-independent discriminators and attention modules (SID-AM-MSITM), which learns the mapping relationship between two unpaired images for translation. We introduce Convolution Block Attention Modules (CBAM) to the generators and discriminators of SID-AM-MSITM to improve its feature extraction ability. Moreover, we construct style-independent discriminators that enable the discriminant results of SID-AM-MSITM to be not affected by the style of images and retain content details. Through ablation experiments and comparative experiments, we demonstrate that attention modules and style-independent discriminators are introduced reasonably and SID-AM-MSITM performs better than multiple baseline methods.

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Research on Recognition Method of Optical Detection Image of Underwater Robot for Submarine Cable

Cited by 7 publications

References 2 publications

Advancement of Underwater Surveying and Scanning Techniques: A Review

Advancement of Underwater Surveying and Scanning Techniques: A Review

The Use of Terrestrial and Maritime Autonomous Vehicles in Nonintrusive Object Inspection

Underwater Image Translation via Multi-Scale Generative Adversarial Network

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