Details
| Original language | English |
|---|---|
| Pages (from-to) | 151-168 |
| Number of pages | 18 |
| Journal | Computer Vision, Graphics and Image Processing |
| Volume | 25 |
| Issue number | 2 |
| Publication status | Published - Feb 1984 |
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.
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In: Computer Vision, Graphics and Image Processing, Vol. 25, No. 2, 02.1984, p. 151-168.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Segmentation of blood smears by hierarchical thresholding
AU - Wermser, D.
AU - Haussmann, G.
AU - Liedtke, C. E.
PY - 1984/2
Y1 - 1984/2
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=0021285949&partnerID=8YFLogxK
U2 - 10.1016/0734-189X(84)90100-2
DO - 10.1016/0734-189X(84)90100-2
M3 - Article
AN - SCOPUS:0021285949
VL - 25
SP - 151
EP - 168
JO - Computer Vision, Graphics and Image Processing
JF - Computer Vision, Graphics and Image Processing
SN - 0734-189X
IS - 2
ER -