Image Generation for Moina Classification using GAN-CNN and Digital Holography

dc.contributor.authorBunyarit Voochaiyaphum
dc.contributor.authorPrathan Buranasiri
dc.contributor.authorWitoon Yindeesuk
dc.date.accessioned2026-05-08T19:24:21Z
dc.date.issued2024-1-1
dc.description.abstractMoina are small aquatic organisms that cannot be differentiated by species with the naked eye. In this research, we employed the GAN-CNN technique to generate images of Moina from raw hologram data and to automatically classify the species. The experimental results demonstrate the effectiveness of the GAN-CNN technique for species classification.
dc.identifier.doi10.1364/fio.2024.jd4a.16
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/19535
dc.subjectDigital Holography and Microscopy
dc.subjectImage Processing Techniques and Applications
dc.subjectAdvanced Optical Imaging Technologies
dc.titleImage Generation for Moina Classification using GAN-CNN and Digital Holography
dc.typeArticle

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