Hair enhancement in dermoscopic images using dual-channel quaternion tubularness filters and MRF-based multilabel optimization

IEEE Transactions on Image Processing

Volumn 23, Issue 12, 2014, Pages 5486-5496

  Mirzaalian, Hengameh ^a   Lee, Tim K ^b,c,d   Hamarneh, Ghassan ^a  

^a SIMON FRASER UNIVERSITY   (Canada)

^b UNIVERSITY OF BRITISH COLUMBIA   (Canada)

^c VANCOUVER COASTAL HEALTH RESEARCH INSTITUTE   (Canada)

^d BRITISH COLUMBIA CANCER AGENCY   (Canada)

Author keywords

hair enhancement; hair segmentation; light and dark objects; Melanoma; quaternion tubularness filters

Indexed keywords

BANDPASS FILTERS; COMPUTER AIDED DIAGNOSIS; DERMATOLOGY; FEATURE EXTRACTION; MARKOV PROCESSES; MATCHED FILTERS; PIXELS;

CLASSIFICATION ACCURACY; COMPUTER AIDED DIAGNOSIS SYSTEMS; LESION SEGMENTATIONS; MARKOV RANDOM FIELD THEORY; MELANOMA; MULTI-LABEL OPTIMIZATIONS; SEGMENTATION ACCURACY; VALIDATION RESULTS;

IMAGE SEGMENTATION;

ANATOMY AND HISTOLOGY; COMPUTER ASSISTED DIAGNOSIS; EPILUMINESCENCE MICROSCOPY; HAIR; HUMAN; MELANOMA; PROBABILITY; PROCEDURES; SKIN NEOPLASMS;

DERMOSCOPY; HAIR; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MARKOV CHAINS; MELANOMA; SKIN NEOPLASMS;

EID: 84910604880     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2014.2362054     Document Type: Article

References (28)

1. R. Siegel, D. Naishadham, and A. Jemal, "Cancer statistics," CA, Cancer J. Clin., vol. 62, no. 1, pp. 10-29, 2012.
2. M. E. Celebi, H. Iyatomi, G. Schaefer, and W. V. Stoecker, "Lesion border detection in dermoscopy images," Comput. Med. Imag. Graph., vol. 33, no. 2, pp. 148-153, 2009.
3. K. Korotkov and R. Garcia, "Computerized analysis of pigmented skin lesions: A review," Artif. Intell. Med., vol. 56, no. 2, pp. 69-90, 2012.
4. M. G. Fleming et al., "Techniques for a structural analysis of dermatoscopic imagery," Comput. Med. Imag. Graph., vol. 22, no. 5, pp. 375-389, 1998.
5. T. Lee, V. Ng, R. Gallagher, A. Coldman, and D. McLean, "DullRazor: A software approach to hair removal from images," Comput. Biol. Med., vol. 27, no. 6, pp. 533-543, 1997.
6. N. H. Nguyen, T. K. Lee, and M. S. Atkins, "Segmentation of light and dark hair in dermoscopic images: A hybrid approach using a universal kernel," Proc. SPIE, vol. 7623, pp. 76234N-1-76234N-8, Mar. 2010.
7. F.-Y. Xie, S.-Y. Qin, Z.-Q. Jiang, and R.-S. Meng, "PDE-based unsupervised repair of hair-occluded information in dermoscopy images of melanoma," Comput. Med. Imag. Graph., vol. 33, no. 4, pp. 275-282, 2009.
8. H. Zhoua et al., "Feature-preserving artifact removal from dermoscopy images," Proc. SPIE, vol. 6914, no. 1, 2008, Art. ID 69141B.
9. M. Fiorese, E. Peserico, and A. Silletti, "VirtualShave: Automated hair removal from digital dermatoscopic images," in Proc. Annu. Int. Conf. IEEE EMBC, Aug./Sep. 2011, pp. 5145-5148.
10. P. Schmid-Saugeona, J. Guillodb, and J.-P. Thirana, "Towards a computer-aided diagnosis system for pigmented skin lesions," Comput. Med. Imag. Graph., vol. 27, no. 1, pp. 65-78, 2003.
11. A. Afonso and M. Silveira, "Hair detection in dermoscopic images using percolation," in Proc. IEEE Annu. Int. Conf. EMBC, Aug./Sep. 2012, pp. 4378-4381.
12. K. Kiani and A. R. Sharafat, "E-shaver: An improved DullRazor for digitally removing dark and light-colored hairs in dermoscopic images," Comput. Biol. Med., vol. 41, no. 3, pp. 139-145, 2011.
13. Q. Abbas, M. E. Celebi, and I. F. García, "Hair removal methods: A comparative study for dermoscopy images," Biomed. Signal Process. Control, vol. 6, no. 4, pp. 395-404, 2011.
14. Q. Abbas, I. F. Garcia, M. E. Celebi, and W. Ahmad, "A featurepreserving hair removal algorithm for dermoscopy images," Skin Res. Technol., vol. 19, no. 1, pp. e27-e36, 2013.
15. C. Steger, "An unbiased detector of curvilinear structures," IEEE Trans. Pattern Anal. Mach. Intell., vol. 20, no. 2, pp. 113-125, Feb. 1998.
16. C. Kirbas and F. Quek, "A review of vessel extraction techniques and algorithms," ACM Comput. Surv., vol. 36, no. 2, pp. 81-121, 2004.
17. D. Lesage, E. D. Angelini, I. Bloch, and G. Funka-Lea, "A review of 3D vessel lumen segmentation techniques: Models, features and extraction schemes," Med. Image Anal., vol. 13, no. 6, pp. 819-845, 2009.
18. A. F. Frangi, W. J. Niessen, K. L. Vincken, and M. A. Viergever, "Multiscale vessel enhancement filtering," in Proc. 1st MICCAI, 1998, pp. 130-137.
19. H. Mirzaalian and G. Hamarneh, "Vessel scale-selection using MRF optimization," in Proc. IEEE CVPR, Jun. 2010, pp. 3273-3278.
20. L. Shi, B. Funt, and G. Hamarneh, "Quaternion color curvature," in Proc. IS T 16th Color Imag. Conf., 2008, pp. 338-341.
21. T. Lindeberg, "Edge detection and ridge detection with automatic scale selection," in Proc. IEEE Comput. Soc. Conf. CVPR, Jun. 1996, pp. 465-470.
22. Y. Boykov, O. Veksler, and R. Zabih, "Fast approximate energy minimization via graph cuts," IEEE Trans. Pattern Anal. Mach. Intell., vol. 23, no. 11, pp. 1222-1239, Nov. 2001.
23. O. Veksler, "Graph cut based optimization for MRFs with truncated convex priors," in Proc. IEEE Conf. Comput. Vis. Pattern Recognit. (CVPR), Jun. 2007, pp. 1-8.
24. G. Argenziano et al., Interactive Atlas of Dermoscopy. Milan, Italy: Edra Medical Publishing & New Media, 2000.
25. T. M. Koller, G. Gerig, G. Szekely, and D. Dettwiler, "Multiscale detection of curvilinear structures in 2D and 3D image data," in Proc. IEEE 5th ICCV, Jun. 1995, pp. 864-869.
26. S. Bouattour and D. Paulus, "Vessel enhancement in 2D angiographic images," in Proc. 4th Int. Conf. Funct. Imag. Modeling Heart, vol. 4466. 2007, pp. 41-49.
27. H. Mirzaalian, T. K. Lee, and G. Hamarneh, "Learning features for streak detection in dermoscopic color images using localized radial flux of principal intensity curvature," in Proc. IEEE Workshop MMBIA, Jan. 2012, pp. 97-101.
28. P. Vallotton and N. Thomas, "Automated body hair counting and length measurement," Skin Res. Technol., vol. 14, no. 4, pp. 493-497, 2008.