Colour image segmentation using fuzzy clustering techniques and competitive neural network

Applied Soft Computing Journal

Volumn 11, Issue 3, 2011, Pages 3170-3178

  Sowmya, B ^a   Sheela Rani, B ^a  

^a SATHYABAMA UNIVERSITY   (India)

Author keywords

Competitive neural network; Compression ratio; Fuzzy C means; Possibilistic Fuzzy C means; PSNR

Indexed keywords

COMPETITIVE NEURAL NETWORK; COMPRESSION RATIOS; FUZZY C MEANS; POSSIBILISTIC; PSNR;

COLOR; COMPRESSION RATIO (MACHINERY); FUZZY CLUSTERING; FUZZY SYSTEMS; IMAGE ENHANCEMENT; IMAGE QUALITY; IMAGE SEGMENTATION; NEURAL NETWORKS; SIGNAL TO NOISE RATIO; SOFT COMPUTING;

CLUSTERING ALGORITHMS;

EID: 79951851711     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2010.12.019     Document Type: Article

References (16)

1. D.P. Mukherjee, P. Pal, and J. Das Sodar image segmentation by fuzzy c-means Signal Processing 54 Novemeber (3) 1996 295 301 (Pubitemid 126371241)
2. T. Chen Incorporating fuzzy c-means and a back-propagation network ensemble to job completion time prediction in a semiconductor fabrication factory Fuzzy Sets and Systems 158 October (19) 2007 2153 2168 (Pubitemid 47176687)
3. W. Pedrycz, and P. Rai Collaborative clustering with the use of Fuzzy C-Means and its quantification Fuzzy Sets and Systems 159 September (18) 2008 2399 2427
4. O. Sjahputera, and J.M. Keller Scene matching using F-histogram-based features with possibilistic C-means optimization Fuzzy Sets and Systems 158 February(3) 2007 253 269 (Pubitemid 44854204)
5. A. Doncescu, J. Aguilar-Martin, and J.-C. Atine Image color segmentation using the fuzzy tree algorithm T-LAMDA Fuzzy Sets and Systems 158 February (3) 2007 230 238 (Pubitemid 44854202)
6. H. Khotanlou, O. Colliot, J. Atif, and I. Bloch 3D brain tumor segmentation in MRI using fuzzy classification, symmetry analysis and spatially constrained deformable models Fuzzy Sets and Systems 160 May (10) 2009 1457 1473
7. J. Laaksonen, V. Viitaniemi, and M. Koskela Application of Self-Organizing Maps and automatic image segmentation to 101 object categories database Fourth International Workshop on Content-Based Multimedia Indexing Riga, Latvia, June 21-23 2005
8. P.-L. Chang, and W.-G. Teng Exploiting the Self-Organizing Map for medical image segmentation Twentieth IEEE International Symposium on Computer-Based Medical Systems (CBMS'07) 2007 281 288
9. S. Chen, and D. Zhang Robust image segmentation using FCM with spatial constraints based on new kernel-induced distance measure IEEE Transactions on Systems, Man and Cybernetics 34 August (4) 2004 1907 1916
10. M.R. Rezaee, P.M.J. Van Der Zwet, B.P.E. Lelieveldt, R.J. Van Der Geest, and J.H.C. Reiber A multiresolution image segmentation technique based on pyramidal segmentation and fuzzy clustering IEEE Transactions on Image Processing 9 July (7) 2000 1238 1248
11. F. Hoeppner Fuzzy shell clustering algorithms in image processing: fuzzy C-rectangular and 2-rectangular shells IEEE Transaction on Fuzzy Systems 5 November (4) 1997 599 613 (Pubitemid 127768538)
12. R. Krishnapuram, and J.M. Keller The possibilistic c-means: insights and recommendations IEEE Transactions on Fuzzy Systems 4 1996 385 393
13. S. Behnke, and N.B. Karayiannis Competitive neural trees for pattern classification IEEE Transactions on Neural Networks 9 November (6) 1998 1352 1369 (Pubitemid 128742414)
14. S. Ray, and R.H. Turi Determination of number of clusters in k-means clustering and application in colour image segmentation 4th International Conference on Advances in Pattern Recognition and Digital Techniques (ICAPRDT'99) 1999
15. H.-C. Lu, and T. Tao Closed-loop method to improve image PSNR in pyramidal CMAC networks Computer Applications in Technology 25 1 2006 22 29 (Pubitemid 43241022)
16. http://icdm-sid.org/Public/Documents/Downloads/NISTSU01.pdf