Quantification of morphological characteristics and filamentous bacteria in activated-sludge flocs through quantitative image-analysis techniques incorporating image-processing software and U-Net deep-learning framework
Uthpala Kaushalya, Yuki Nakaya, Shota Ishizaki, Kai Sugino, Reiko Hirano, Hisashi Satoh
Topics & Concepts
Activated sludgeImage processingArtificial intelligenceSoftwareImage (mathematics)BacteriaComputer scienceChemistryEnvironmental scienceBiological systemComputer visionPattern recognition (psychology)BiologyEnvironmental engineeringWastewaterProgramming languageGeneticsWater Quality Monitoring Technologies