Zhu X F. Study of key techniques of imaging flow cytometry for bio――particle detection and recongnition[D].Tianjin: Tianjin University,2010. [朱险峰. 生物颗粒流式成像关键技术的研究[D]. 天津:天津大学,2010.]
[2]
Jiang K, Liao Q M, Dai S Y. A novel white blood cell segmentation scheme using scale-space filtering and watershed clustering[J]. Proceedings of the 2nd International Conference on Machine Learning and Cybernetics, 2003,5(5): 2820-2825.
[3]
Sudhavani G, Sathyaprasad K. Segmentation of lip images by modified fuzzy C-means clustering algorithm[J]. International Journal of Computer Science and Network Security, 2009, 9(4):187-191.
[4]
Girolami M. Mercer kernel-based clustering in feature space[J]. IEEE Trans.on Neual Networks,2002,13(3): 780-784.
[5]
Gómez-Gil P, Ramírez-Cortés M, Gonz？lez B J, et al. A feature extraction method based on morphological operators for automatic classification of leukocytes [C]//Proceedings of the 7th Mexican International Conference on Artificial Intelligence. USA: IEEE Computer Society, 2008,10:227-232.
[6]
Theera-Umpon N, Dhompongsa S. Morphological granulometric features of nucleus in automatic bone marrow white blood cell classification [J]. IEEE Transactions on Information Technology in Biomedicine, 2007, 11(3): 353-359.
[7]
Angulo J, Klossa J, Flandarin G. Ontology-based lymphocyte population description using mathematical morphology on colour blood images [J]. Cellular and Molecular Biology TM, 2006, 52(6):2-15.
[8]
Rezatofighi S H, Khaksari K, Hamid S Z. Automatic recognition of five types of white blood cells in peripheral blood [C]// LNCS 6112. Berlin:Springer-Verlag, 2010: 161-172.
[9]
Fatichah C, Tangel M L, Widyanto M R, et al. Parameter Optimization of Local Fuzzy Patterns for Extracting White Blood Cell Texture Feature[C]//World Congress of Int.Indonesia: Fuzzy Systems Association, 2011:153-159.
[10]
Zhang X Q, Li X F, Liu Y N. Gaussian kernelized fuzzy c-means with spatial information algorithm for image segmentation [J]. Journal of Computers, 2012,7(6):1511-1516.
[11]
Chen S C, Zhang D Q. Robust image segmentation using FCM with spatial constraints based on new kernel-induced distance measure [J].IEEE Transactions on System, 2004,134(4):1907-1917.
[12]
Keh-Shih C, Tzeng H L, Chen S, et al. Fuzzy c-means clustering with spatial information for image segmentation [J]. Computerized Medical Imaging and Graphics, 2006,30(1):9-15.
[13]
Ge Q,Wei Z H,Zhang J W, et al[WTBZ]. Multiphase CV model integra- ted with improved FCM algorithm[J]. Journal of Image and Graphics,2011,16(3):547-553.[葛琦,韦志辉,张建伟,等.结合改进 FCM算法的多相位 CV模型[J]. 中国图象图形学报,2011,16(3):547-553.]
[14]
Yang M S. A Gaussian kernel-based fuzzy c-means algorithm with a spatial bias correction[J].Pattern Recognition Letters, 2008,29(1):1713-1725.
[15]
Ahmed M N, Yamany S M, Mohamed N. A modified fuzzy c-means algorithm for bias field estimation and segmentation of MRI data[J]. IEEE Transactions on Medical Imaging,2002, 21(3):193-199.
[16]
Dong C,Yang S R,Li T F,et al[WTBZ]. Modeling and verification for equivalent NN of general two-dimensional fuzzy controller[J]. Computer Engineering and Design, 2008,29(11): 2912-2917.[董淳,杨绍荣,李太傅,等.一般二维模糊控制器的等效神经网络建模与验证[J].计算机工程与设计, 2008,29(11): 2912 -2917.]
[17]
Barros de Almeida M, De P？dua Braga A, Braga J P.SVM-KM:speeding SVMs Learning with a priori Cluster Selection and k-Means[C]//The 6th Brazilian Symposium on Neural Networks. USA: IEEE Xplore,2000: 162-167.
[18]
Caponetti L, Castiello C, Fanelli A M, et al[WTBZ]. Texture segmentation with local fuzzy patterns and neuro-fuzzy decision support[C]//LNAI 4252. Berlin:Springer-Verlag, 2006:340-347.
[19]
Tajeripour F, Kabir E, Sheikhi A. Fabric defect detection using modified local binary patterns[J].Eurasip Journal on Advances in Signal Processing, 2008:1-12.
[20]
Iakovidis K, Keramidas G, Dimitris M. Fuzzy local binary pa- tterns for ultrasound texture characterization[C]//LNCS 5112. Berlin:Springer-Verlag, 2008:750-759.
[21]
更多...
[22]
Fatichah C, Tangel M L, Widyanto M R, et al[WTBZ]. Parameter optimization of local fuzzy patterns based on fuzzy contrast measure for white blood cell texture feature extraction [J]. Journal of Advanced Computational Intelligence and Intelligent Informatics, 2012,16(3): 412-419.
