E-shaver: An improved DullRazor ® for digitally removing dark and light-colored hairs in dermoscopic images

Computers in Biology and Medicine

Volumn 41, Issue 3, 2011, Pages 139-145

  Kiani, Kimia ^a   Sharafat, Ahmad R ^a  

^a TARBIAT MODARES UNIVERSITY   (Iran)

Author keywords

Dermoscopy; Digital hair removal; Edge detection; Prewitt filter

Indexed keywords

DERMOSCOPY; DIGITAL HAIR REMOVAL; HAIR REMOVAL; HAIR STRUCTURE; IMPROVED METHODS; LIGHT-COLORED; PREWITT; RADON TRANSFORM; THRESHOLDING; UNDESIRABLE EFFECTS;

EDGE DETECTION;

ARTICLE; CONTROLLED STUDY; EPILUMINESCENCE MICROSCOPY; HAIR COLOR; HAIR DISCOLORATION; HUMAN; ORIENTATION; PRIORITY JOURNAL; SIGNAL NOISE RATIO; SIMULATION;

COMPUTER SIMULATION; DERMOSCOPY; DIAGNOSIS, COMPUTER-ASSISTED; HAIR REMOVAL; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; SKIN NEOPLASMS; SKIN PIGMENTATION; SOFTWARE; SOFTWARE DESIGN;

EID: 79951768565     PISSN: 00104825     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compbiomed.2011.01.003     Document Type: Article

References (21)

1. Saugeon P.S., Guillod J., Thiran J.P. Towards a computer-aided diagnosis system for pigmented skin lesions. Computerized Medical Imaging and Graphics 2003, 27:65-78.
2. Ganster H., et al. Automated melanoma recognition. IEEE Transactions on Medical Imaging 2001, 20(3):233-239.
3. Lyatomi H., et al. Computer-based classification of dermoscopy images of melanocytic lesions on acral volar skin. Journal of Investigative Dermatology 2008, 128:2049-2054.
4. Celebia M.E., et al. A methodological approach to the classification of dermoscopy images. Computerized Medical Imaging and Graphics 2007, 31:362-373.
5. Rubegni P., et al. Digital dermoscopy-analysis and artificial neural network for the differentiation of clinically atypical pigmented skin lesions: a retrospective study. Journal of Investigative Dermatology 2002, 119(2):471-474.
6. Menzies S.W., et al. The performance of solar scan: an automated dermoscopy image analysis instrument for the diagnosis of primary melanoma. Archives of Dermatology 2005, 141(11):1388-1396.
7. M.E. Celebi, Y.A. Aslandogan, P.R. Bergstresser, Unsupervised border detection of skin lesion images, in: Proceedings of the IEEE International Conference on Info Tech, Coding, and Computing, Las Vegas, April 2005, pp. 123-128.
8. Hoffmann K., et al. Diagnostic and neural analysis of skin cancer (DANAOS)-a multi centre study for collection and computer-aided analysis of data from pigmented skin lesions using digital dermoscopy. British Journal of Dermatology 2003, 149:801-809.
9. G. Zouridakis, M. Doshi, M. Duvic, N.A. Mullani, Transillumination imaging for early skin cancer detection, Tech. Report UH-CS-05-05, U. of Houston, March 2005.
10. Celebi M.E., et al. Fast and accurate border detection in dermoscopy images using statistical region merging. Proceedings of the SPIE Medical Imaging 2007, 6512. pp. 65123V-65123V-10.
11. H. Galda, Development of a segmentation method for dermoscopic images based on color clustering, PhD Dissertation, Kobe University, 2003.
12. ®: a software approach to hair removal from images. Computers in Biology and Medicine 1997, 27(6):533-543.
13. T.B. Holmstrom, A survey and evaluation of features for the diagnosis of malignant melanoma, MSc Thesis, Umeå University, August 2005.
14. T.K. Lee, Measuring border irregularity and shape of cutaneous melanocytic lesions, PhD Dissertation, Simon Fraser University, January 2001.
15. Wighton P., et al. Existence and perception of textural information predictive of atypical nevi-preliminary insights. Proceedings of the SPIE Medical Imaging 2008, 6917. pp. 69170J-69170J-10.
16. P. Qassemi, Processing dermatoscopic images for the diagnosis of benign and malignant melanositic lesions, MS thesis, Tarbiat Modares University, 2004.
17. Maglogiannis I., Pavlopoulos S., Koutsouris D. An Integrated computer supported acquisition, handling and characterization system for pigmented skin lesions in dermatological images. IEEE Transactions on Information Technology in Biomedicine 2005, 9(1):86-98.
18. Fleming M.G., et al. Techniques for a structural analysis of dermatoscopic imagery. Computerized Medical Imaging and Graphics 1998, 22(5):375-389.
19. Zagrouba E., Barhoumi W. A prelimary approach for the automated recognition of malignant melanoma. Image Analysis and Stereology 2004, 23:121-135.
20. Jafari-Khouzani K., Soltanian-Zadeh H. Radon transform orientation estimation for rotation invariant texture analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence 2005, 27(6):1004-1008.
21. She Z., Duller A.W., Liu Y., Fish P.J. Simulation and analysis of optical skin lesion images. Skin Research and Technology 2006, 12(2):133-144.