Abstract
This paper describes an automatic detection and recognition system of leukocytes on a given microscopic image. The developed system detects the locations of leukocytes from a blood cell image. After the automatic detection, the system classifies each leukocyte in one of the five categories (neutrophils, eosinophils, basophils, lymphocytes, and monocytes). The system processes an input image with the Scale Invariant Feature Transform (SIFT) algorithm for leukocyte detection. Meanwhile, two different recognition methods, i.e. the Euclidean distance and the Co-occurrence matrix methods are applied for automatic recognition. The combination of detection and recognition approaches provide the optimal recognition accuracies for almost all leukocyte types.
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References
Lina, A.C., Mulyawan, B.: Focused color intersection for leukocyte detection and recognition system. Int. J. Inf. Electron. Eng. 3(5), 498–501 (2013)
Markiewicz, T.: Data mining techniques for feature selection in blood cell recognition. In: Proceedings of European Symposium on Artificial Neural Networks, pp. 407–412 (2006)
Colunga, M.C., Siordia, O.S., Maybank, S.J.: Leukocyte recognition using EM-algorithm. In: Proceedings of 8th Mexican International Conference on Artificial Intelligence, pp. 545–555 (2009)
Lowe, D.G.: Distinctive image features from scale-invariant key-points. Int. J. Comput. Vis. 60(2), 91–110 (2004)
Harris, C., Stephens, M.: A combined corner and edge detector. In: Proceedings of the 4th Alvey Vision Conference, pp. 147–151 (1988)
Chen, J., Zou, L.H., Dou, L.H.: The comparison and application of corner detection algorithms. J. Multimedia 4(6), 435–441 (2009)
Lina, A.C., Mulyawan, B.: A combination of feature selection and co-occurrence matrix methods for leukocyte recognition system. J. Softw. Eng. Appl. 5(12B), 101–106 (2012)
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Lina, Dharmawan, B. (2016). A Leukocyte Detection System Using Scale Invariant Feature Transform Method. In: Pasila, F., Tanoto, Y., Lim, R., Santoso, M., Pah, N. (eds) Proceedings of Second International Conference on Electrical Systems, Technology and Information 2015 (ICESTI 2015). Lecture Notes in Electrical Engineering, vol 365. Springer, Singapore. https://doi.org/10.1007/978-981-287-988-2_74
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DOI: https://doi.org/10.1007/978-981-287-988-2_74
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