Image Processing methods for microorganisms adapted for laboratory exercises

Image Processing methods for microorganisms adapted for laboratory exercises

This paper presents one way of presenting traditional methods for digital image processing of microorganisms as a laboratory exercise for students. These methods include median and Gaussian filter noise removal, image thresholding, edge detection, and morphological operations. The lab exercise is de...

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Bibliographic Details
Published in:2023 31st National Conference with International Participation (TELECOM) pp. 1 - 4
Main Authors: Todorov, George, Docheva, Lilyana, Dochev, Ivo, Manev, Stoycho
Format: Conference Proceeding
Language:English
Published: IEEE 16-11-2023
Subjects:
Bacteria Image Processing
Binary dilation
Digital images
Edge detection
Image segmentation
Image Thresholding
Microbiology
Microorganisms
Morphological operations
Telecommunications
Thresholding (Imaging)
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Summary:This paper presents one way of presenting traditional methods for digital image processing of microorganisms as a laboratory exercise for students. These methods include median and Gaussian filter noise removal, image thresholding, edge detection, and morphological operations. The lab exercise is designed for the students in the Faculty of Telecommunications, they are learning the fundamentals of digital image processing. It will also be useful for students whose major field is microbiology, they can use this paper for further analysis in their research in the part of image analysis of bacteria.
ISSN:2837-5246
DOI:10.1109/TELECOM59629.2023.10409654