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Hemispherical Gaussians for Accurate Light Integration Read chapter Read first chapter

2018 | OriginalPaper | Chapter

Detection of Pollen Grains in Digital Microscopy Images by Means of Modified Histogram Thresholding

Author : Dariusz Frejlichowski

Published in: Computer Vision and Graphics

Publisher: Springer International Publishing

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Abstract

The paper describes and investigates the application of the algorithm for the detection and extraction of pollen contour shapes in digital microscopic images. This is the first step in the process of identification of pollen grains in order to obtain a method for automatic or semi-automatic analysis of air samples. The final approach is supposed to support this process by recognizing pollen types in digital microscopic images. The applied segmentation approach is based on the Modified Histogram Thresholding, previously employed in the extraction of red blood cells for the automatic diagnosis of certain diseases based on the erythrocyte shapes.

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Metadata
Title
Detection of Pollen Grains in Digital Microscopy Images by Means of Modified Histogram Thresholding
Author
Dariusz Frejlichowski
Copyright Year
2018
Book
Computer Vision and Graphics

Print ISBN: 978-3-030-00691-4

Electronic ISBN: 978-3-030-00692-1

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-030-00692-1_27

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