Blotch detection in pigmented skin lesions using fuzzy co-clustering and texture segmentation

DICTA 2009 - Digital Image Computing: Techniques and Applications

Volumn , Issue , 2009, Pages 25-31

  Madasu, Vamsi K ^a   Lovell, Brian C ^a  

^a UNIVERSITY OF QUEENSLAND   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

BACTERIAL FORAGING ALGORITHM; BLOTCH DETECTION; CO-CLUSTERING; COLOUR SEGMENTATION; MEDICAL IMAGES; OBJECTIVE FUNCTIONS; PIGMENTED SKIN LESIONS; SKIN LESION; SPECIFIC VALUES; TEXTURE FEATURES; TEXTURE SEGMENTATION;

COBALT COMPOUNDS; DERMATOLOGY; FUZZY CLUSTERING; IMAGE SEGMENTATION; PHOTOGRAPHIC FILMS; TEXTURES;

CLUSTERING ALGORITHMS;

EID: 77950326333     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/DICTA.2009.15     Document Type: Conference Paper

References (14)

1. Bezdek, J.C. Pattern Recognition with Fuzzy Objective Function Algorithms. Plenum Press, New York (1981)
2. Xie, X.L., Beni, G.: A Validity Measure for Fuzzy Clustering. IEEE Trans. PAMI. 13, 841-847 (1991)
3. Bezdek, J.C., Dunn, J.C.: Optimal Fuzzy Partitions: A Heuristic for estimating parameters in a mixture of Normal Distributions. IEEE Trans. Computers. C-24, 835-838 (1975).
4. Kummamuru, K., Dhawale, A., Krishnapuram, R.: Fuzzy co-clustering of Documents and Keywords. In: 12th IEEE Intl. Conf. Fuzzy Systems, pp. 772-777. IEEE press, NY (2003)
5. Hanmandlu, M., Verma, O.P., Kumar, N.K., Kulkarni, M.: A Novel Optimal Fuzzy System for colour image enhancement using bacterial foraging. IEEE Trans. Measurements and Instrumentation, in press (2009).
6. Hanmandlu, M., Seba, S., Madasu, V.K., Lovell, B.C.: Fuzzy co-clustering of medical images using Bacterial Foraging. In: 23rd International Conference Image and Vision Computing New Zealand, pp. 1-6. IEEE press, New York (2008)
7. Lim, Y.W., Lee, S.U.: On the colour image segmentation algorithm based on thresholding and the fuzzy c-means techniques. Pattern Recognition. 23, 935-952 (1990)
8. Argenziano, G. et al.: Dermoscopy of pigmented skin lesions: Results of a consensus meeting via the internet. J. American Academy of Dermatology. 4, 679-693 (2003)
9. Oh, C.H., Honda, K., Ichihashi, H.: Fuzzy clustering for categorical multivariate data. In: IFSA World Congress, pp. 2154-2159. IEEE press, New York (2001)
10. Stoecker, W.V. et al.: Detection of asymmetric blotches in dermoscopy images of malignant melanoma using relative colour. Skin Res. Technology. 11, 179-184 (2005)
11. Stanley R.J., Moss R.H., Stoecker, W.V., Aggarwal C.: A fuzzy-based histogram analysis technique for skin lesion discrimination in dermatology clinical images. Computerized Medical Imaging and Graphics. 27, 387-396 (2003)
12. Khan, A. et al.: Fuzzy logic techniques for blotch feature evaluation in dermoscopy images. Computerized Medical Imaging and Graphics. 33, 50-57 (2009)
13. Das, A. Entropy based Indexing on Colour and Texture in Image Retrieval. Ph.D thesis, Jamia Milia Islamia, Delhi (2007)
14. Pal, N.R., Pal, S.K.: Object-background segmentation using new definitions of entropy. IEEE Proceedings. 136, 284-295 (1989)