Local adaptive receptive field self-organizing map for image segmentation

WSOM 2007 - 6th Int. Workshop on Self-Organizing Maps

Volumn , Issue , 2007, Pages

  Araújo, Aluizio R F ^a   Costa, Diogo C ^a  

^a FEDERAL UNIVERSITY OF PERNAMBUCO   (Brazil)

Author keywords

Border segmentation; Grow when required; Image processing; Image segmentation; Radial basis function; Self organizing map

Indexed keywords

COLOR SEGMENTATION; DEGREES OF COMPLEXITY; FAST CONVERGENCE; GROW WHEN REQUIRED; LOCAL-ADAPTIVE; RADIAL BASIS FUNCTIONS; RECEPTIVE FIELDS; VARIABLE TOPOLOGIES;

COMPLEX NETWORKS; CONFORMAL MAPPING; IMAGE PROCESSING; RADIAL BASIS FUNCTION NETWORKS; SELF ORGANIZING MAPS; TOPOLOGY;

IMAGE SEGMENTATION;

EID: 84893486269     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (15)

1. CH. Chang, P. Xu, R. Xiao, R. S. T. Srikanthan, "New adaptive color quantization method based on self-organizing maps,", IEEE Transactions on Neural Networks, Vol. 16, No. 1: pp. 237-249, 2005.
2. H.D. Cheng, X.H. Jiang, Y. Sun, J.L. Wang, "Color image segmentation: advances and prospects,", Pattern Recognition, Vol. 34, No. 12, pp. 2259-2281, 2001.
3. D. deRidder, H. Handels, "Image Processing with Neural Networks-A Review,", Pattern Recognition, Vol. 35, pp. 2279-2301, 2002.
4. G. Dong, M. Xie, "Color Clustering and Learning for Image Segmentation Based on Neural Networks,", IEEE Transactions on Neural Networks, Vol. 16, No. 4, 2005.
5. R.C. Gonzalez, R.E. Woods, Digital Image Processing, Edgard Blücher, 2000.
6. D.S. Broomhead and D. Lowe, "Multivariable functional interpolation and adaptative networks,", Complex Systems, Vol. 11, pp. 321-355, 1988.
7. C.V. Jawahar, P.K. Biswas and K. Ray, "Investigations On Fuzzy Thresholding Based On Fuzzy Clustering,", Pattern Recognition, Vol. 30, No. 10, 1997.
8. K. Kanjanawanishkula, B. Uyyanonvara, "Novel fast color reduction algorithm for time-constrained applications,", Journal of Visual Communication & Image Representation. Vol. 16, pp. 311-332, 2005.
9. T. Kohonen, Self-organizing Maps. 2nd edition, Springer-Verlag. 1997.
10. S. Marsland, J. Shapiro, U. Nehmzow, "A self-organizing network that grows when required,". Neural Networks, Vol. 15 pp. 1041-1058, 2002.
11. S.H. Ong, N.C. Yeo, K.H. Lee, Y.V. Venkatesh, D.M. Cao, "Segmentation of color images using a two-stage self-organizing network,", Image and Vision Computing, Vol. 20, pp. 279-289, 2002.
12. N. Papamarkos, A. E. Atsalakis, C. P. Strouthopoulos, "Adaptive color reduction,", IEEE Transactions On Systems Man And Cybernetics Part B-Cybernetics Vol. 32, No. 1, pp. 44-56, 2002.
13. J.R. Parker, Algorithms for Image Processing and Computer Vision, John Wiley and Sons, 1997.
14. P.J. Toivanen, J. Ansamaki, J.P.S. Parkkinen, J. Mielikainen, "Edge detection in multispectral images using the self-organizing map,", Pattern Recognition Letters, Vol. 24, pp. 2987-2994, 2003.
15. N.C. Yeo, K.H. Lee, Y.V. Venkatesh, S.H. Ong, "Colour image segmentation using the self-organizing map and adaptive resonance theory,", Image and Vision Computing, Vol. 23, pp. 1060-1079, 2005.