Combination of Multiple Pixel Classifiers for Microscopic Image Segmentation

C. Meurie, O. Lezoray, C. Charrier, and A. Elmoataz

References

  1. [1] C. Meurie, O. Lezoray, H. Cardot, & A. Elmoataz, Comparison of unsupervised classifiers for color image segmentation:Application in biomedical imagery, in ICISP, 1, June 2003, 30–37.
  2. [2] C. Meurie, G. Lebrun, O. Lezoray, H. Cardot, & A. Elmoataz,A comparison of supervised pixel-based color image segmentation methods, WSEAS Trans. on Computers, 2(3), July 2003, 739–744.
  3. [3] A.-K. Jain, R.-P.-W. Duin, & J. Mao, Statistical patternrecognition: A review, IEEE Trans. on PAMI, 22(1), 2000, 4–37. doi:10.1109/34.824819
  4. [4] L. Xu, A. Krzyzak, & C-Y. Suen, Methods for combiningmultiple classifiers and their applications to handwriting recognition, IEEE Trans. on Systems, Man and Cybernetics, 22(3), 1998, 418–435. doi:10.1109/21.155943
  5. [5] F. Roli & G. Giacinto, Design of multiple classifier systems,in H. Bunke & A. Kandel (Eds), Hybrid methods in patternrecognition (World Scientific Publishing, 2002).
  6. [6] D. Ruta & B. Gabrys, An overview of classifier fusion methods,Computing and Information Systems, 7, 2000, 1–10.
  7. [7] J. Kittler, M. Hatef, R.-P.-W. Duin, & J. Matas, On combiningclassifiers, IEEE Trans. on PAMI, 20(3), March 1998. doi:10.1109/34.667881
  8. [8] Y.-Y. Chou & L. Shapiro, A hierarchical multiple classifierlearning algorithm, in ICPR, 2, 2000, 152–155.
  9. [9] D. Tschumperlé & R. Deriche, Constrained and unconstrainedpde’s for vector image restoration, in SCIA, 2001, 153–160.
  10. [10] O. Lezoray & H. Cardot, Cooperation of color pixel classification schemes and color watershed: a study for microscopical images, IEEE Trans. on Image Processing, 11(7), 2002, 783–789. doi:10.1109/TIP.2002.800889
  11. [11] A. Dempster, Upper & lower probablilities induced by multi-valued mapping, Annals of Mathematical Statistics, 38, 1967,325–339. doi:10.1214/aoms/1177698950
  12. [12] P. Smets, Constructing the pignistic probability function in acontext of uncertainty, Uncertainty in Artificial Intelligence,5, 1990, 29–39.
  13. [13] C. Charrier & A.-L. Jousselme, Color space combination andapproximation for vector quantization, in ISIVC’04, Brest,September 2004, 231–234.
  14. [14] L. Kuncheva, J.C. Bezdek, & R.-P.-W. Duin, Decision templates for multiple classifier fusion: an experimental comparison, Pattern Recognition, 34(1), 2001, 299-314. doi:10.1016/S0031-3203(99)00223-X

Important Links:

Go Back