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A NEW SEPARATION ALGORITHM FOR OVERLAPPING BLOOD CELLS USING SHAPE ANALYSIS.
- Source :
-
International Journal of Pattern Recognition & Artificial Intelligence . Jun2009, Vol. 23 Issue 4, p847-864. 18p. 7 Black and White Photographs, 1 Diagram, 2 Charts, 1 Graph. - Publication Year :
- 2009
-
Abstract
- Blood cell classification is widely used in the biomedical research. Appropriate separation between touching and overlapping blood cells is of great importance for the successful classification. In this paper, a novel algorithm based on shape information is proposed for the separation of partially overlapping blood cells. It is motivated by the problem of finding the borders between adjacent blood cells in microscopy images. The algorithm can not only separate the simple touching blood cells, but also large clusters of overlapping blood cells. In addition, this algorithm can be adopted for other applications, where separation between touching and overlapping particles is required. [ABSTRACT FROM AUTHOR]
- Subjects :
- *BLOOD cells
*ALGORITHMS
*MEDICAL research
*CLASSIFICATION
*INFORMATION organization
Subjects
Details
- Language :
- English
- ISSN :
- 02180014
- Volume :
- 23
- Issue :
- 4
- Database :
- Academic Search Index
- Journal :
- International Journal of Pattern Recognition & Artificial Intelligence
- Publication Type :
- Academic Journal
- Accession number :
- 41784989
- Full Text :
- https://doi.org/10.1142/S0218001409007302