A State-of-the-Art Survey for Microorganism Image Segmentation Methods and Future Potential

A State-of-the-Art Survey for Microorganism Image Segmentation Methods and Future Potential

Microorganisms play a great role in ecosystem, wastewater treatment, monitoring of environmental changes, and decomposition of waste materials. However, some of them are harmful to humans and animals such as tuberculosis bacteria and plasmodium. In such course, it is important to identify, track, an...

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Bibliographic Details
Main Authors: Frank Kulwa, Chen Li, Xin Zhao, Bencheng Cai, Ning Xu, Shouliang Qi, Shuo Chen, Yueyang Teng
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Microorganism segmentation
content-based microscopic image analysis
feature extraction
microscopic images
classical methods
machine learning
Online Access:https://ieeexplore.ieee.org/document/8766984/

Internet

https://ieeexplore.ieee.org/document/8766984/

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