CURRENT LITERATURE REVIEW ON IMAGE PROCESSING ANALYSIS FOR CONCRETE DAMAGE ASSESMENT
Numerous studies have employed computer vision algorithms to analyze images of concrete damage. Therefore, conducting an image processing survey to detect concrete damage is very crucial. Thus, an image processing algorithm analysis survey to detect concrete damage was conducted using various algor...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Universitas Negeri Jakarta
2024-09-01
|
| Series: | Jurnal Pensil |
| Subjects: | |
| Online Access: | https://journal.unj.ac.id/unj/index.php/jpensil/article/view/45042 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850060616359739392 |
|---|---|
| author | Usman Wijaya Yogi Yulianto Emon Haryanto |
| author_facet | Usman Wijaya Yogi Yulianto Emon Haryanto |
| author_sort | Usman Wijaya |
| collection | DOAJ |
| description |
Numerous studies have employed computer vision algorithms to analyze images of concrete damage. Therefore, conducting an image processing survey to detect concrete damage is very crucial. Thus, an image processing algorithm analysis survey to detect concrete damage was conducted using various algorithms and types of data from the last decade. The data observed were the first is damage to concrete, which included surface cracks, hairlines, crack width, patterns, holes, diagonal cracks, longitudinal cracks, and transverse cracks. The second part is figuring out where roads, bridges, and buildings are. The third is data sources like digital cameras, cameras built into phones, camera sensor systems, and unmanned aerial vehicles (UAVs). The study's findings indicate that image processing algorithms will play an essential role in future assessment research on the automation of concrete damage detection. This is particularly the case in high-risk regions for security reasons, and UAV technology is required to reach these locations.
|
| format | Article |
| id | doaj-art-42bc0abf889e4cd6b0edf4acc6f177e7 |
| institution | DOAJ |
| issn | 2301-8437 2623-1085 |
| language | English |
| publishDate | 2024-09-01 |
| publisher | Universitas Negeri Jakarta |
| record_format | Article |
| series | Jurnal Pensil |
| spelling | doaj-art-42bc0abf889e4cd6b0edf4acc6f177e72025-08-20T02:50:30ZengUniversitas Negeri JakartaJurnal Pensil2301-84372623-10852024-09-0113310.21009/jpensil.v13i3.45042CURRENT LITERATURE REVIEW ON IMAGE PROCESSING ANALYSIS FOR CONCRETE DAMAGE ASSESMENTUsman Wijaya0Yogi Yulianto1Emon Haryanto2Civil Engineering Department, Faculty of Civil Engineering and Planning, Universitas TrisaktiMaster's Program in Informatics Engineering, Faculty of Computer Science, AMIKOM University of YogyakartaBachelor's Degree Program in Informatics Engineering, Faculty of Engineering, Janabadra University of Yogyakarta Numerous studies have employed computer vision algorithms to analyze images of concrete damage. Therefore, conducting an image processing survey to detect concrete damage is very crucial. Thus, an image processing algorithm analysis survey to detect concrete damage was conducted using various algorithms and types of data from the last decade. The data observed were the first is damage to concrete, which included surface cracks, hairlines, crack width, patterns, holes, diagonal cracks, longitudinal cracks, and transverse cracks. The second part is figuring out where roads, bridges, and buildings are. The third is data sources like digital cameras, cameras built into phones, camera sensor systems, and unmanned aerial vehicles (UAVs). The study's findings indicate that image processing algorithms will play an essential role in future assessment research on the automation of concrete damage detection. This is particularly the case in high-risk regions for security reasons, and UAV technology is required to reach these locations. https://journal.unj.ac.id/unj/index.php/jpensil/article/view/45042Computer VisionConcrete DamageImage Processing |
| spellingShingle | Usman Wijaya Yogi Yulianto Emon Haryanto CURRENT LITERATURE REVIEW ON IMAGE PROCESSING ANALYSIS FOR CONCRETE DAMAGE ASSESMENT Jurnal Pensil Computer Vision Concrete Damage Image Processing |
| title | CURRENT LITERATURE REVIEW ON IMAGE PROCESSING ANALYSIS FOR CONCRETE DAMAGE ASSESMENT |
| title_full | CURRENT LITERATURE REVIEW ON IMAGE PROCESSING ANALYSIS FOR CONCRETE DAMAGE ASSESMENT |
| title_fullStr | CURRENT LITERATURE REVIEW ON IMAGE PROCESSING ANALYSIS FOR CONCRETE DAMAGE ASSESMENT |
| title_full_unstemmed | CURRENT LITERATURE REVIEW ON IMAGE PROCESSING ANALYSIS FOR CONCRETE DAMAGE ASSESMENT |
| title_short | CURRENT LITERATURE REVIEW ON IMAGE PROCESSING ANALYSIS FOR CONCRETE DAMAGE ASSESMENT |
| title_sort | current literature review on image processing analysis for concrete damage assesment |
| topic | Computer Vision Concrete Damage Image Processing |
| url | https://journal.unj.ac.id/unj/index.php/jpensil/article/view/45042 |
| work_keys_str_mv | AT usmanwijaya currentliteraturereviewonimageprocessinganalysisforconcretedamageassesment AT yogiyulianto currentliteraturereviewonimageprocessinganalysisforconcretedamageassesment AT emonharyanto currentliteraturereviewonimageprocessinganalysisforconcretedamageassesment |