Application of Microbiological Detection Based on Computer Image Analysis

Yaqin Zhang; Yan Zhao; Tuanjie Chu

doi:10.54097/5c17f690

Authors

Yaqin Zhang
Yan Zhao
Tuanjie Chu

DOI:

https://doi.org/10.54097/5c17f690

Keywords:

Microbial Detection, Computer Image Analysis, Machine Learning, Deep Learning, Image Processing

Abstract

Microorganisms play an important role in human society, and the analysis of microorganisms is of great significance. Traditional microbial detection methods based on microscopes have some defects, and more effective methods are needed to achieve rapid and accurate analysis. This paper studies the microbial detection methods based on computer image analysis technology, and introduces three main methods in detail, including methods based on classical image processing, traditional machine learning, and deep learning. The main implementation steps and shortcomings of various methods are analyzed. Finally, this paper points out the current challenges and research directions of microbial detection technology based on computer image analysis, and provides a theoretical basis for promoting microbial detection technology based on computer image analysis.

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