Image Generation for Moina Classification using GAN-CNN and Digital Holography
| dc.contributor.author | Bunyarit Voochaiyaphum | |
| dc.contributor.author | Prathan Buranasiri | |
| dc.contributor.author | Witoon Yindeesuk | |
| dc.date.accessioned | 2026-05-08T19:24:21Z | |
| dc.date.issued | 2024-1-1 | |
| dc.description.abstract | Moina 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.doi | 10.1364/fio.2024.jd4a.16 | |
| dc.identifier.uri | https://dspace.kmitl.ac.th/handle/123456789/19535 | |
| dc.subject | Digital Holography and Microscopy | |
| dc.subject | Image Processing Techniques and Applications | |
| dc.subject | Advanced Optical Imaging Technologies | |
| dc.title | Image Generation for Moina Classification using GAN-CNN and Digital Holography | |
| dc.type | Article |