Amalina Ibrahim, W. Mohd-Isa, M. M. Su’ud, Shahbe Mat Desa
{"title":"Underwater Corrosion Recognition using Colour Illumination Mapping","authors":"Amalina Ibrahim, W. Mohd-Isa, M. M. Su’ud, Shahbe Mat Desa","doi":"10.1109/ISPACS57703.2022.10082825","DOIUrl":null,"url":null,"abstract":"Visual-based corrosion detection is one of the techniques that can be utilised for performing inspection in areas where human access is impossible because of environment, safety and other concerns such as underwater. Image quality has become a great factor in underwater image analysis. Noticeable challenges are limited source of natural lighting, loss of colour underwater at depth, magnification of objects underwater and much more. These factors may affect the process of estimating the actual corroded area underwater. Due to that, this work is proposing a technique to recognize underwater corrosion based on colour illumination mapping.","PeriodicalId":410603,"journal":{"name":"2022 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"622 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISPACS57703.2022.10082825","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Visual-based corrosion detection is one of the techniques that can be utilised for performing inspection in areas where human access is impossible because of environment, safety and other concerns such as underwater. Image quality has become a great factor in underwater image analysis. Noticeable challenges are limited source of natural lighting, loss of colour underwater at depth, magnification of objects underwater and much more. These factors may affect the process of estimating the actual corroded area underwater. Due to that, this work is proposing a technique to recognize underwater corrosion based on colour illumination mapping.