Optics and Precision Engineering, Volume. 20, Issue 12, 2781(2012)
Blood cell image segmentation on color and GVF Snake for Leukocyte classification on SVM
[1] [1] ZENG M, MENG Q H, ZHANG J X, et al.. Automatic analysis system of blood nuclei based on morphological features and support vector machines [J]. Computer Engineering, 2008, 34(2):14-19. (in Chinese)
[2] [2] HERBERT R, VINCENT L, HORST B,et al..Leukocyte segmentation and classification in blood smear images[C]. Proceedings of the 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference. China, IEEE, 2005:3371-3374.
[3] [3] MADHUMALA G, DEVKUMAR D, SUBHODIP M, et al.. Statistical pattern analysis of white blood cell nuclei morphometry[C]. Proceedings of the 2010 IEEE Students' Technology Symposium. India,2010:51-66.
[4] [4] XIE E,MCGINNITY T,WU Q X. Automatic extraction of shape features for classification of leukocyte[C]. 2010 International Conference on Artificial Intelligence and Computational Intelligence, China, 2010:220-224.
[5] [5] YING Y, WANG Y, LIU D P. Improved MEANSHIFT method for blood cell image segmetation [J]. Computer Engineering and Applications, 2010, 46(6):178-180. (in Chinese)
[6] [6] SEZGIN M, SANKUR B. Survey over image thresholding techniques and quantitative performance evaluation [J]. Journal of Electronic Imaging, 2004, 13(1):146-165.
[7] [7] RAFAEL C G,RICHARD E W. Digital Image Processing[M]. 2nd ed. BeiJing: Publishing House of Electronics Industry, 2009.(in Chinese)
[8] [8] ZHANG R G, LIU X J,WANG R, et al.. Adaptive gradient vector flow algorithm for boundary extraction [J]. Pattern Recognition and Artificial Intelligence, 2008, 21(6):799-805. (in Chinese)
[9] [9] XU C, PRINCE J L. Snakes, shapes and gradient vector flow[J]. IEEE Transactions On Image Processing, 1998, 7(3): 359-369.
[10] [10] ARTHORN S,WORANUT I,CHUCHART P, et al.. White blood cell segmentation by distance mapping active contour[C]. 2008 International Symposium on Communications and Information Technologies, Thailand, 2008:251-255.
[11] [11] THEERAPATTANAKUL J,POLDPAI J,PINTAVIOOJ C. An efficient method for segmentation step of automated white blood cell classifications[C]. 2004 IEEE Region 10 Conference. China,2004:191-194.
[13] [13] SUBRAJEET M,SUSHANTA S S,DIPTI P, et al.. Fuzzy based blood image segmentation for automated leukemia detection[C]. 2011 International Conference on Devices and Communications, India,2011:1-5.
[14] [14] COMANICIU D,MEER P. Mean shift: a robust approach toward feature space analysis [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2002, 24(5):603-619.
[17] [17] CORTES C, VAPNIK V N. Support vector network [J]. Machine Learning, 1995, 20(3): 273-297.
[18] [18] DENG N Y, TIAN Y J. Support Vector Machines(Theory, Algorithm and Development)[M]. Beijing: Science Press, 2009.(in Chinese)
[19] [19] BAI P, ZHANG X B, ZHANG B, et al..Support Vector Machine and its Application in Mixed Gas Infrared Spectrum Analysis[M]. XI AN: XiDian University Press,2008.(in Chinese)
Get Citation
Copy Citation Text
WANG Wei-xing, SU Pei-yin. Blood cell image segmentation on color and GVF Snake for Leukocyte classification on SVM[J]. Optics and Precision Engineering, 2012, 20(12): 2781
Category:
Received: Jul. 17, 2012
Accepted: --
Published Online: Jan. 7, 2013
The Author Email: Wei-xing WANG (znn525d@qq.com)