Performance analysis of various types of surface crack detection based on image processing

Lionnie, Regina; Ramadhan, Rizky Citra; Rosyadi, Ahmad Syadidu; Jusoh, Muhammad Shahar; Alaydrus, Mudrik

doi:10.22441/sinergi.2022.1.001

Cited by 5 publications

(4 citation statements)

References 16 publications

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“…Setelah teknologi berkembang pesat, terutama dalam bidang image processing dan computer vision [16]. Sejumlah penelitian deteksi kebohongan mulai dikembangkan berbasiskan teknologi komputer.…”

Section: Pendahuluanunclassified

Sistem Pakar Deteksi Covid-19 Dengan Lie Detection Menggunakan Metode Circle Hough Transform

Priambodo,

Jumaryadi

2022

JoSYC

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The number of health workers infected with Covid-19 in Indonesia continues to grow amid the coronavirus pandemic. Not only doctors, nurses and other medical support staff have been exposed to Covid-19. To date, IDI has recorded more than 180 health workers who have died from Corona. Health workers are dying because of a lack of Personal Protective Equipment (PPE) and fatigue. Prevention of direct contact between asymptomatic patients and health workers is a way to prevent health workers from contracting COVID-19. An expert system for diagnosing COVID-19 with lie detection is proposed to be used for patients who wish to seek treatment at a health center before they meet face-to-face with health workers. Several previous studies have proven that the certainty method can be used to diagnose COVID-19 with an accuracy of up to 90%, provided that the patient answers questions honestly. In this study, control questions and pupil detection were added using the circle hard transform to find out whether patients who wanted treatment did not lie when answering questions about symptoms of exposure to Covid, travel history and family history of exposure to Covid. The combination of an expert system and lie detection is expected to be the first protective alternative for health workers from asymptomatic patients. Based on the results of the application testing carried out, it can be seen that the movement of the patient's pupils when answering questions.

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Section: Pendahuluanunclassified

Sistem Pakar Deteksi Covid-19 Dengan Lie Detection Menggunakan Metode Circle Hough Transform

Priambodo,

Jumaryadi

2022

JoSYC

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“…Cracks at the crest or slope surface could initiate the slip surface. The presence and size of cracks are usually detected by visual observation or various methods outlined in [6].…”

Section: Introductionmentioning

confidence: 99%

Effect of near-surface heterogeneities on the pore-water pressure distribution and slope stability

Gofar,

Pangestika,

Harianto

et al. 2024

Sinergi

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Seepage and slope stability are important problems analyzed in geotechnical engineering. Conventionally, the analysis is performed in conditions where the soil is intact. However, near-surface soil is subjected to various conditions that lead to heterogeneity, for example, the presence of cracks in clay, relics in weathered rock, and plant roots. The presence of cracks and other forms of heterogeneity on the near-surface layer increases the rainfall infiltration into the slope and changes the pore water pressure distribution accordingly. Water infiltration increases the pore water pressure, raises groundwater level, and decreases the matrix suction of unsaturated soils - which is a critical factor for the stability of slopes. This study aims to evaluate the effect of varying permeability of near-surface soil on the rainwater infiltration to slope and, subsequently, the safety factor. In this case, the near-surface soil is modeled as a layer with higher permeability. Numerical analysis performed in this study using SEEP/W and SLOPE/W indicated that considering this condition results in a higher safety factor of the slope because the higher permeability resulting from heterogeneity helps dissipate pore water pressure, which is critical in maintaining the slope stability during heavy rainfall.

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“…While there are already several review articles on image segmentation, very few of them discuss the specific technique used in aerial imagery data. Some discussed segmentation for medical imagery, some focused on vegetation science, and others focused on sensor and vision technology [2]- [12]. This study attempted to fill the hole in the review by focusing on image segmentation in aerial imagery technology.…”

Section: Introductionmentioning

confidence: 99%

Image Segmentation in Aerial Imagery: A Review

Purwanto,

Budiarti,

Purnamastuti

et al. 2023

Sinergi

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The problem of distinguishing objects has plagued researchers for many years because of low accuracy compared to human eyes’ capability. In the last decade, the use of Machine Learning in aerial imagery data processing has multiplied, with the technology behind it has also developed exponentially. One of those technologies is image-based object identification, which relies heavily upon data computation. To reduce the computational load, various data segmentation algorithm was developed. This study is focused on reviewing the various image segmentation technology in aerial imagery for image recognition. Literature from as far as 1981 from various journals and conferences worldwide was reviewed. This review examines specific research questions to analyze image segmentation research over time and the challenges researchers face with each method. Machine Learning has gained popularity among segmentation methods. However, Deep Learning has been aggressively put an essential role in it by overcoming many of its weaknesses. The advanced algorithm used in Deep Learning to process the segmentation may drive more efficient and accurate data processing.

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Performance analysis of various types of surface crack detection based on image processing

Cited by 5 publications

References 16 publications

Sistem Pakar Deteksi Covid-19 Dengan Lie Detection Menggunakan Metode Circle Hough Transform

Sistem Pakar Deteksi Covid-19 Dengan Lie Detection Menggunakan Metode Circle Hough Transform

Effect of near-surface heterogeneities on the pore-water pressure distribution and slope stability

Image Segmentation in Aerial Imagery: A Review

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