Segmentation of blood smears by hierarchical thresholding

verfasst von: D. Wermser, G. Haussmann, C. E. Liedtke
Abstract: A major problem in the development of systems for automated differential blood count of leucocytes in the peripheral blood is the correct segmentation of the cell scene, i.e., its decomposition into nucleus, plasma, erythrocytes, thrombocytes, etc. Several algorithms have been proposed in the literature and they differ considerably in performance, expense of implementation, and speed. This paper describes a fast and simple segmentation scheme based on hierarchical thresholding. The thresholds are derived from histograms of the cell scene based on two color features used at different processing steps. Segmentation is achieved by application of several local operators to the cell scene. These operators can easily be implemented in hardware. Therefore the segmentation method is suitable for the implementation on a special fast hardware processor as part of a system for automated differential blood counting.
Organisationseinheit(en): Institut für Informationsverarbeitung
Typ: Artikel
Journal: Computer Vision, Graphics and Image Processing
Band: 25
Seiten: 151-168
Anzahl der Seiten: 18
ISSN: 0734-189X
Publikationsdatum: 02.1984
Publikationsstatus: Veröffentlicht
Peer-reviewed: Ja
ASJC Scopus Sachgebiete: Allgemeine Umweltwissenschaft, Allgemeiner Maschinenbau, Allgemeine Erdkunde und Planetologie
Elektronische Version(en): https://doi.org/10.1016/0734-189X(84)90100-2 (Zugang: Geschlossen)

BibTeX

@article{66e4aa5244f24f8caa6b68ec2a930baf,
title = "Segmentation of blood smears by hierarchical thresholding",
abstract = "A major problem in the development of systems for automated differential blood count of leucocytes in the peripheral blood is the correct segmentation of the cell scene, i.e., its decomposition into nucleus, plasma, erythrocytes, thrombocytes, etc. Several algorithms have been proposed in the literature and they differ considerably in performance, expense of implementation, and speed. This paper describes a fast and simple segmentation scheme based on hierarchical thresholding. The thresholds are derived from histograms of the cell scene based on two color features used at different processing steps. Segmentation is achieved by application of several local operators to the cell scene. These operators can easily be implemented in hardware. Therefore the segmentation method is suitable for the implementation on a special fast hardware processor as part of a system for automated differential blood counting.",
author = "D. Wermser and G. Haussmann and Liedtke, {C. E.}",
year = "1984",
month = feb,
doi = "10.1016/0734-189X(84)90100-2",
language = "English",
volume = "25",
pages = "151--168",
journal = "Computer Vision, Graphics and Image Processing",
issn = "0734-189X",
publisher = "Academic Press Inc.",
number = "2",
}