Abstract
A recognition method for the blood cell images was proposed. Since red cells, leukocytes, platelets, and cytoplasm had different color in the blood cell image, they were extracted according to their own colors. First, the color areas of red cells, leukocytes, platelets and cytoplasm were determined, respectively. Second, pixels were distributed into each color area by using the fuzzy clustering algorithm. The proposed method was implemented by Java program. Five blood cell images were used in the test. The leukocytes, platelets, and red cells were detected accurately in all five images. Results demonstrated the effectiveness of the proposed method.
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© 2009 Springer-Verlag Berlin Heidelberg
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Wang, Ey., Gou, Z., Miao, Am., Peng, Sq., Niu, Zy., Shi, Xl. (2009). Recognition of Blood Cell Images Based on Color Fuzzy Clustering. In: Cao, B., Li, TF., Zhang, CY. (eds) Fuzzy Information and Engineering Volume 2. Advances in Intelligent and Soft Computing, vol 62. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03664-4_8
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DOI: https://doi.org/10.1007/978-3-642-03664-4_8
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-03663-7
Online ISBN: 978-3-642-03664-4
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