Counting Bacteria Colonies Based on Image Processing Methods
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Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/8886343/8894913/08895213.pdf?arnumber=8895213
Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Development of reflection removal methods for automated bacterial colony counting using computer vision technologies;Biomedical Spectroscopy, Microscopy, and Imaging III;2024-06-20
2. Kenar Hesaplama Tabanlı, Mikrodenetleyici Entegreli, Çok Amaçlı ve Düşük Maliyetli Modül Geliştirilmesi: Bakteriyel Koloni Sayımı Örneği;Iğdır Üniversitesi Fen Bilimleri Enstitüsü Dergisi;2024-06-01
3. Automatic Colony Counter using Computer Vision and Artificial Intelligence;2023 International Workshop on Artificial Intelligence and Image Processing (IWAIIP);2023-12-01
4. Semi-automatic PFU Counting Method by Double Thresholding and Two-Stage Segmentation;2022 7th International Conference on Signal and Image Processing (ICSIP);2022-07-20
5. Impedance Spectroscopic Analysis of the Interidigitated Flexible Sensor for Bacteria Detection;IEEE Sensors Journal;2020-11-01
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