Name
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. |
Year | DOI | Venue |
|---|---|---|
1984 | 10.1016/0734-189X(84)90100-2 | Computer Vision, Graphics, and Image Processing |
Field | DocType | Volume |
Histogram,Computer vision,Scale-space segmentation,Segmentation,Image segmentation,Artificial intelligence,Operator (computer programming),Thresholding,Mathematics | Journal | 25 |
Issue | ISSN | Citations |
2 | 0734-189X | 10 |
PageRank | References | Authors |
2.92 | 4 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| D Wermser | 1 | 17 | 3.45 |
| G Haussmann | 2 | 12 | 3.95 |
| C.-E. Liedtke | 3 | 22 | 5.40 |