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Van Aken, J. R. (2005). Ef
cient ellipse-drawing algorithm. IEEE Computer Graphics and
Applications, 4(9), 24
-
35.
Wang, M., & Chu, R. (2009). A novel white blood cell detection method based on boundary
support vectors. Proceedings of the 2009 IEEE International Conference on Systems, Man, and
Wang, L., & Huang, F. (2010). Parameter analysis based on stochastic model for differential
evolution algorithm. Applied Mathematics and Computation, 217(7), 3263
3273.
Wang, S., Korris, F. L., & Fu, D. (2007). Applying the improved fuzzy cellular neural network
IFCNN to white blood cell detection. Neurocomputing, 70(7
-
1359.
Wu, J., Zeng, P., Zhou, Y., & Oliver, C. (2006). A novel color image segmentation method and its
application to white blood cell image analysis. In 8th International Conference on Signal
Processing, Beijing, China (Vol. 2, pp. 16
9), 1348
-
-
20, 16
20), November 2006. DOI:
10.1109/ICOSP.
-
-
Xu, L., Oja, E., & Kultanen, P. (1990). A new curve detection method: Randomized Hough
transform (RHT). Pattern Recognition Letters, 11(5), 331
-
338.
Yao, J., Kharma, N., & Grogono, P. (2005). A multi-population genetic algorithm for robust and
fast ellipse detection. Pattern Analysis Applications, 8(1
-
2), 149
-
162.
Zhuang, X., & Meng, Q. (2004). Local fuzzy fractal dimension and its application in medical
image processing. Arti
cial Intelligence in Medicine, 32(1), 29
-
36.
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