Possibilistic C-template clustering and its application in object detection in images

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4319 LNCS, Issue , 2006, Pages 383-392

  Wang, Tsaipei ^a  

^a NATIONAL CHIAO TUNG UNIVERSITY   (Taiwan)

Author keywords

Fuzzy clustering; Object and shape Detection; Possibilistic clustering; Robust clustering; Shell clustering; Template based methods

Indexed keywords

C (PROGRAMMING LANGUAGE); FUZZY CLUSTERING; OBJECT DETECTION; OBJECT RECOGNITION;

POSSIBILISTIC CLUSTERING; ROBUST CLUSTERING; SHAPE DETECTION; SHELL CLUSTERING; TEMPLATE BASED METHODS;

CLUSTERING ALGORITHMS;

EID: 55249120516     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11949534_38     Document Type: Conference Paper

References (15)

1. Anderson, I., Bezdek, J.C.: An Application of the C-Varieties Algorithm to Polygonal Curve Fitting. IEEE Trans. Sys. Man Cybernet., Vol. 15, (1985) 637-641
2. Dave, R.N.: Fuzzy Shell-Clustering and Application to Circle Detection in Digital Images. Int. J. Gen. Syst., Vol. 16 (1990) 343-355
3. Krishnapuram, R., Nasraoui, O., Frigui, H.: The Fuzzy C Spherical Shells Algorithm: A New Approach. IEEE Trans. Neural Networks, Vol. 3 (1992) 663-671
4. Krishnapurum, R., Frigui, H., Nasraoui, O.: Fuzzy and Possibilistic Shell Clustering Algorithms and Their Application to Boundary Detection and Surface Approximation - Part I. IEEE. Trans. Fuzzy Systems, Vol. 3 (1995) 29-43
5. Krishnapurum, R., Frigui, H., Nasraoui, O.: Fuzzy and Possibilistic Shell Clustering Algorithms and Their Application to Boundary Detection and Surface Approximation - Part II. IEEE. Trans. Fuzzy Systems, Vol. 3 (1995) 44-60
6. Frigui, H., Krishnapurum, R.: A Comparison of Fuzzy Shell Clustering Methods for the Detection of Ellipses. IEEE Trans. Fuzz. Sys., Vol. 4 (1996) 193-199
7. Hoeppner, F.: Fuzzy Shell Clustering Algorithms in Image Processing: Fuzzy CRectangular and 2-Rectangular Shells. IEEE Trans. Fuzzy Systems, Vol. 5 (1997) 599-613
8. Gao, X.-B., Xie, W.-X., Liu, J.-Z., Li, J.: Template Based Fuzzy C-Shells Clustering Algorithm and Its Fast Implementation. Proc. ICSP, Vol. 2 (1996) 1269-1272
9. Barni, M., Gualtieri, R.: A New Possibilistic Clustering Algorithm for Line Detection in Real World Imagery. Pattern Recognition, Vol. 32 (1999) 1897-1909
10. Barni, M., Mecocci, A., Perugini, L.: Craters Detection via Possibilistic Shell Clustering. Proc. IEEE Int'l Conf. Image Processing, Vol. 2 (2000) 720-723
11. Gath, I., Hoory, D.: Detection of Elliptic Shells Using Fuzzy Clustering: Application to MRI Images. Proc. ICPR, Vol. 2 (1994) 251-255
12. Krishnapuram, R., Keller, J.M.: A Possibilistic Approach to Clustering. IEEE Trans. Fuzz. Sys., Vol. 1 (1993) 98-110
13. Hall, L.O., Ozyurt, I.B., Bezdek, J.C.: Clustering with a Genetically Optimized Approach. IEEE Trans. Evolutionary Computation, Vol. 3 (1999) 103-112
14. Scheunders, P.: A Genetic C-Means Clustering Algorithm Applied to Color Image Quantization. Pattern Recognition, Vol. 30 (1997) 859-866
15. Sheng, W., Swift, S., Zhang, L., Liu, X.: A Weighted Sum Validity Function for Clustering with a Hybrid Niching Genetic Algorithm. IEEE Trans. Sys. Man. Cibernet. Part B, Vol. 35 (2005) 1156-1167