Skin lesion extraction in dermoscopic images based on colour enhancement and iterative segmentation

Proceedings - International Conference on Image Processing, ICIP

Volumn , Issue , 2009, Pages 3361-3364

  Schaefer, Gerald ^a   Rajab, Maher I ^b   Celebi, M Emre ^c   Iyatomi, Hitoshi ^d  

^a ASTON UNIVERSITY   (United Kingdom)

^b UMM AL QURA UNIVERSITY   (Saudi Arabia)

^c Louisiana State University   (United States)

^d HOSEI UNIVERSITY   (Japan)

Author keywords

Colour normalisation; Contrast enhancement; Dermoscopy; Image segmentation; Medical imaging; Skin cancer

Indexed keywords

ALGORITHMS; COLOR; DERMATOLOGY; DIGITAL IMAGE STORAGE; IMAGING SYSTEMS; MEDICAL IMAGING; OPTIMIZATION;

CONTRAST ENHANCEMENT; DERMOSCOPY; DERMOSCOPY IMAGES; NORMALISATION; SKIN CANCERS;

IMAGE SEGMENTATION;

EID: 77951957089     PISSN: 15224880     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.2009.5413891     Document Type: Conference Paper

References (15)

1. A. Jemal, R. Siegel, E. Ward, Y. Hao, J. Xu, T. Murray, and M.J. Thun, "Cancer statistics, 2008," CA: A Cancer Journal for Clinicians, vol. 58, no. 2, pp. 71-96, 2008.
2. G. Argenziano, H.P. Soyer, and V. De Giorgi, Dermoscopy: A Tutorial, EDRA Medical Publishing & New Media, 2002.
3. K. Steiner, M. Binder, M. Schemper, K. Wolff, and Pehamberger H., "Statistical evaluation of epiluminescence dermoscopy criteria for melanocytic pigmented lesions," Journal of the American Academy of Dermatology, vol. 29, no. 4, pp. 581-588, 1993.
4. M. Binder, M. Schwarz, A. Winkler, A. Steiner, A. Kaider, K. Wolff, and H. Pehamberger, "Epiluminescence microscopy. a useful tool for the diagnosis of pigmented skin lesions for formally trained dermatologists," Archives of Dermatology, vol. 131, no. 3, pp. 286-291, 1995.
5. M.G. Fleming, C. Steger, J. Zhang, J. Gao, A.B. Cognetta, I. Pollak, and C.R. Dyer, "Techniques for a structural analysis of dermatoscopic imagery," Computerized Medical Imaging and Graphics, vol. 22, no. 5, pp. 375-389, 1998.
6. M.E. Celebi, H. Iyatomi, G. Schaefer, and W.V. Stoecker, "Lesion border detection in dermoscopy images," Computerized Medical Imaging and Graphics, vol. 33, no. 2, 2009.
7. A. Rizzi, C. Gatta, and D. Marini, "A new algorithm for unsupervised global and local color correction," Pattern Recognition Letters, vol. 24, no. 11, pp. 1663-1677, July 2003.
8. G. Finlayson and G. Schaefer, "Colour indexing across devices and viewing conditions," in 2nd International Workshop on Content-Based Multimedia Indexing, 2001, pp. 215-221.
9. D. Delgado, C. Butakoff, B.K. Ersboll, and W.V. Stoecker, "Independent histogram pursuit for segmentation of skin lesions," IEEE Trans. Biomedical Engineering, vol. 55, no. 1, pp. 157-161, 2008.
10. G. Buchsbaum, "A spatial processor model for object colour perception," Journal of the Franklin Institute, vol. 310, pp. 1-26, 1980.
11. E.H. Land, "The retinex theory of color constancy," Scientific American, pp. 108-129, 1977.
12. T.W. Ridler and S. Calvard, "Picture thresholding using an iterative selection method," IEEE Trans. Systems, Man and Cybernetics, vol. 8, pp. 630-632, 1978.
13. G.A. Hance, S.E. Umbaugh, R.H. Moss, and W.V. Stoecker, "Unsupervised color image segmentation with application to skin tumor borders," IEEE Engineering in Medicine and Biology Magazine, vol. 15, no. 1, pp. 104-111, 1996.
14. Y. Ohta, T. Kanade, and T. Sakai, "Color information for region segmentation," Computer Graphics Image Processing, vol. 13, no. 3, pp. 222-241, July 1980.
15. P. Schmid, "Segmentation of digitized dermatoscopic images by two-dimensional color clustering," IEEE Trans. Medical Imaging, vol. 18, no. 2, pp. 164-171, 1999.