Subsea Pipeline Corrosion Estimation by Restoring and Enhancing Degraded Underwater Images

Khan, Amjad; Ali, Syed Saad Azhar; Anwer, Atif; Adil, Syed Hasan; Mériaudeau, Fabrice

doi:10.1109/access.2018.2855725

Cited by 39 publications

(18 citation statements)

References 37 publications

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“…We also compare the results of PA for underwater images with results of Khan et al [38] and Galdran et al [39]. Fig.…”

Section: Underwater Imagesmentioning

confidence: 84%

“…Numerical results show that PA consistently has the highest UCIQE values for almost all the processed images and the highest average UCIQE value. This is consistent with the considerable contrast and colour enhancement observed in most of the images processed with PA. Ancuti & Ancuti [37] Drews-Jr [40] Galdran et al [39] Emberton et al [41] Ancuti et al1 [7] Ancuti et al 2 [11] Khan et al [38] PA…”

Section: Underwater Imagesmentioning

confidence: 99%

“…depicts the visual results from Khan et al[38] amended with PA for visual comparison. Visual observation indicates that the results of PA are the most vivid and colourful in most cases.…”

mentioning

confidence: 99%

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Improved partial differential equation and fast approximation algorithm for hazy/underwater/dust storm image enhancement

Nnolim¹

2019

AIVP

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This paper presents an improved and modified partial differential equation (PDE)-based de-hazing algorithm. The proposed method combines logarithmic image processing models in a PDE formulation refined with linear filter-based operators in either spatial or frequency domain. Additionally, a fast, simplified de-hazing function approximation of the hazy image formation model is developed in combination with fuzzy homomorphic refinement. The proposed algorithm solves the problem of image darkening and over-enhancement of edges in addition to enhancement of dark image regions encountered in previous formulations. This is in addition to avoiding enhancement of sky regions in dehazed images while avoiding halo effect. Furthermore, the proposed algorithm is utilized for underwater and dust storm image enhancement with the incorporation of a modified global contrast enhancement algorithm. Experimental comparisons indicate that the proposed approach surpasses a majority of the algorithms from the literature based on quantitative image quality metrics.Keywords: Logarithmic image processing; illumination-reflectance model; filter kernel-based enhancement; filter-based dynamic range compression; power law-based illumination correction; partial differential equations. A d v a n c e s i n I m a g e a n d V i d e o P r o c e s s i n g ; V o l u m e 7 , N o . 3 , J u n e 2 0 1 9 S o c i e t y f o r S c i e n c e a n d E d u c a t i o n , U n i t e d K i n g d o m 13the Laplacian-based soft mapping procedure in the original DCP, He et al proposed the guided filter to reduce the runtime [5]. However, the guided filter does not preserve fine structures according to Li and Zheng [6]. Thus, they proposed a novel globally guided image filtering (G-GIF) composed of both global structure transfer filter and global edge-preserving smoothing filters for image fine structure preservation-based de-hazing [6].Recently, fusion [7] [8] [9] [10] [11] and deep learning-based approaches [12] have become increasingly popular and widespread [2] due to faster and greater computing resources. However, a vast amount of images is required in the training stage in addition to considerable computing resources and runtime for the deep learning approaches. The fusion-based methods are relatively much more involved than the purely enhancement-based approaches but effective in most cases. Also, the restoration methods require tuning of several parameters for different images to obtain best results. Brief overview and backgroundThe haze in images can be likened to illumination in dark or shadowy images [17] since the end result of uneven illumination and haze is the reduction in image visibility and contrast. Thus, by maximizing contrast, the visibility of the image scene is enhanced, reducing the haze or uneven illumination. This Uche A. Nnolim; Improved Partial Differential Equation and Fast Approximation Algorithm for Hazy/Underwater/Dust Storm Image Enhancement

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“…We also compare the results of PA for underwater images with results of Khan et al [38] and Galdran et al [39]. Fig.…”

Section: Underwater Imagesmentioning

confidence: 84%

Section: Underwater Imagesmentioning

confidence: 99%

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Improved partial differential equation and fast approximation algorithm for hazy/underwater/dust storm image enhancement

Nnolim¹

2019

AIVP

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“…Among many inspection methods studied (Takeshima and Takayama, 2018;Y. Li et al, 2019) have been various techniques for analyzing pipe corrosion (Khadom, Karim and Farhan, 2018;Khan et al, 2018;Norli et al, 2018;Zhang et al, 2018;Aquino et al, 2019;Maher and Swain, 2019;Mohammed et al, 2019;Parker et al, 2019). An inspection method is required to obtain images of pipe interiors.…”

Section: Related Workmentioning

confidence: 99%

Bi-rigid guide wire enables endoscope insertion into winding small gas pipelines

Miura¹,

Nakagami

Parque

et al. 2020

Mechanical Engineering Journal

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Bi-rigid guide wire enables endoscope insertion into winding small gas pipelines 1. Introduction Pipelines are indispensable for supplying resources to cities and homes (Takeshima and Takayama, 2018; Y. Li et al., 2019). In Japan, the underground gas pipeline extends for more than 1.5 billion km (Gas Pipe Overview, 2018). Generally, gas is sent through main pipes under the public road and branches into external gas pipes at residential sites (Fig. 1). The main pipes are of size "50A" (diameter: 52.9 mm), whereas the external gas pipes are of size "25A" (diameter: 27.6 mm) (Gas Pipe Overview, 2018). External gas pipes have four sets of two turns consisting of a bend and an elbow (Gas Pipe Overview, 2018). The total length of an external pipe is about 7.0 m. Because these pipes are installed underground, they are not being maintained. Therefore, corrosion often appears inside the pipes as they age (Cole and Marney, 2012). The most widespread method of inspecting the interior of a gas pipe is visual inspection using an endoscope. One example is using a flexible microscope, as shown in Fig. 2. The operator uses the hand console to manipulate the tip with the microscope camera. However, it is impossible to insert a microscope into a buried pipe because the microscope buckles and stops in the pipe. Thus, when an accident occurs at an external gas pipeline, the buried pipes are dug up randomly until the staff finds the causes. This requires stopping the gas flow and digging up the branch pipe extending from the load (Ogai and Bhattacharya, 2018). The entire process takes more than 1 day, and the gas cannot be used while the pipes are being inspected. Furthermore, digging up and refilling the load has a high cost, which includes personal expenditure and catering (Cole and Marney, 2012).

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“…These algorithms often have the responsibility of taking determining decisions in issues where failure would lead to serious consequences. In References [ 1 , 2 , 3 ], for example, vision-based systems are used for inspection of pipeline infrastructures. In particular, in the first work, the authors presented a method for subsea pipeline corrosion estimation by using colour information of corroded pipes.…”

Section: Introductionmentioning

confidence: 99%

Bodyprint—A Meta-Feature Based LSTM Hashing Model for Person Re-Identification

Avola

Cinque

Fagioli

et al. 2020

Sensors

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Person re-identification is concerned with matching people across disjointed camera views at different places and different time instants. This task results of great interest in computer vision, especially in video surveillance applications where the re-identification and tracking of persons are required on uncontrolled crowded spaces and after long time periods. The latter aspects are responsible for most of the current unsolved problems of person re-identification, in fact, the presence of many people in a location as well as the passing of hours or days give arise to important visual appearance changes of people, for example, clothes, lighting, and occlusions; thus making person re-identification a very hard task. In this paper, for the first time in the state-of-the-art, a meta-feature based Long Short-Term Memory (LSTM) hashing model for person re-identification is presented. Starting from 2D skeletons extracted from RGB video streams, the proposed method computes a set of novel meta-features based on movement, gait, and bone proportions. These features are analysed by a network composed of a single LSTM layer and two dense layers. The first layer is used to create a pattern of the person’s identity, then, the seconds are used to generate a bodyprint hash through binary coding. The effectiveness of the proposed method is tested on three challenging datasets, that is, iLIDS-VID, PRID 2011, and MARS. In particular, the reported results show that the proposed method, which is not based on visual appearance of people, is fully competitive with respect to other methods based on visual features. In addition, thanks to its skeleton model abstraction, the method results to be a concrete contribute to address open problems, such as long-term re-identification and severe illumination changes, which tend to heavily influence the visual appearance of persons.

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Subsea Pipeline Corrosion Estimation by Restoring and Enhancing Degraded Underwater Images

Cited by 39 publications

References 37 publications

Improved partial differential equation and fast approximation algorithm for hazy/underwater/dust storm image enhancement

Improved partial differential equation and fast approximation algorithm for hazy/underwater/dust storm image enhancement

Bi-rigid guide wire enables endoscope insertion into winding small gas pipelines

Bodyprint—A Meta-Feature Based LSTM Hashing Model for Person Re-Identification

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