A perceptually oriented method for contrast enhancement and segmentation of dermoscopy images

Skin Research and Technology

Volumn 19, Issue 1, 2013, Pages

  Abbas, Qaisar ^a,b   Garcia, Irene Fondón ^c   Emre Celebi, M ^d   Ahmad, Waqar ^a,b   Mushtaq, Qaisar ^a,b  

^a NATIONAL TEXTILE UNIVERSITY   (Pakistan)

^b Center for Biomedical imaging and Bioinformatics   (Pakistan)

^c School of Engineering Path of Discovery s n   (Spain)

^d Louisiana State University   (United States)

Author keywords

Contrast enhancement; Dermoscopy; Hill climbing; Melanoma border detection; Skin cancer

Indexed keywords

BORDER DETECTION; CONTRAST ENHANCEMENT; DERMOSCOPY; HILL CLIMBING; SKIN CANCERS;

ALGORITHMS; BELT DRIVES; COLOR; DERMATOLOGY; DIAGNOSIS; ONCOLOGY;

IMAGE SEGMENTATION;

ALGORITHM; ARTICLE; COLOR; CONTRAST ENHANCEMENT; CONTROLLED STUDY; DERMATOLOGIST; EPILUMINESCENCE MICROSCOPY; PERCEPTION; SKIN DEFECT;

ALGORITHMS; COLORIMETRY; DATABASES, FACTUAL; DERMOSCOPY; FALSE NEGATIVE REACTIONS; FALSE POSITIVE REACTIONS; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MELANOMA; MODELS, BIOLOGICAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SKIN NEOPLASMS; SOFTWARE DESIGN;

EID: 84872146020     PISSN: 0909752X     EISSN: 16000846     Source Type: Journal    
DOI: 10.1111/j.1600-0846.2012.00670.x     Document Type: Article

References (24)

1. Papamichail M, Nikolaidis I, Nikolaidis N, Glava C, Lentzas I, Marmagkiolis K, Karassavsa K, Digalakis M. Merkel cell carcinoma of the upper extremity: case report and an update. World J Surg Oncol 2008; 6: 1-6.
2. Siegel R, Ward W, Brawley O, Jemal A. Cancer statistics 2011. CA Cancer J Clin 2011; 61: 212-236.
3. Rubegni P, Cevenini G, Burroni M et al. Automated diagnosis of pigmented skin lesions. Int J Cancer 2002; 101: 576-580.
4. Skvara H, Teban L, Fiebiger M, Binder M, Kittler H. Limitations of dermoscopy in the recognition of melanoma. Arch Dermatol, 2005; 141: 155-160.
5. Argenziano G, Soyer HP, Chimenti S, Talamini R, Corona R, Sera F et al. Dermoscopy of pigmented skin lesions: results of a consensus meeting via the Internet. J Am Acad Dermatol 2003; 48: 679-693.
6. Celebi ME, Kingravi HA, Uddin B et al. A methodological approach to the classification of dermoscopy images. Compute Med Image Graphics 2007; 31: 362-373.
7. Celebi M, Iyatomi H, Schaefer G, Stoecker W. Lesion border detection in dermoscopy images. Comput Med Imaging Graph 2009; 33: 148-153.
8. Abbas Q, Celebi ME, Garci′a IF. Skin tumor area extraction using an improved dynamic programming approach. Skin Res Technol 2012; 18: 133-142.
9. Schmid P. Segmentation of digitized dermatoscopic images by two-dimensional color clustering. IEEE Trans Med Imaging 1999; 18: 164-171.
10. Hoffmann K, Gambichler T, Rick A et al. Diagnostic and neural analysis of skin cancer (DANAOS). A multicentre study for collection and computer-aided analysis of data from pigmented skin lesions using digital dermoscopy. Br J Dermatol 2003; 149: 801-809.
11. Oka H, Hashimoto M, Iyatomi H, Tanaka M. Computer-based classification of dermoscopy images of melanocytic lesions on Acral Volar skin. J Invest Dermatol 2008; 128: 2049-2054.
12. Zhou H, Schaefer G, Sadka A, Celebi ME. Anisotropic mean shift based fuzzy C-means segmentation of dermoscopy images. IEEE J Sel Top Signa 2009; 3: 26-34.
13. Xu L, Jackowski M, Goshtasby A et al. segmentation of skin cancer images. Image Vision Comput 1999; 17: 65-74.
14. Celebi ME, Kingravi HA, Iyatomi H et al. Border detection in dermoscopy images using statistical region merging. Skin Res Technol 2008; 14: 347-353.
15. Celebi ME, Aslandogan YA, Stoecker WV et al. Unsupervised border detection in dermoscopy images. Skin Res Technol 2007; 13: 454-462.
16. Abbas Q, Fondon I, Rashid M. Unsupervised skin lesions border detection via two-dimensional image analysis. Comput Methods Program Biomed 2011; 14: 1-15.
17. Iyatomi H, Oka H, Celebi ME et al. An improved internet-based melanoma screening system with dermatologist-like tumor area extraction algorithm. Comput Med Imag Grap 2008; 32: 566-579.
18. Argenziano G, Soyer PH, De VG, Carli P, Delfino M. Interactive atlas of dermoscopy CD. Milan: EDRA Medical Publishing & New Media, 2002.
19. Abbas Q, Garcia IF, Celebi ME, Ahmad W. A feature-preserving hair removal algorithm for dermoscopy images. Skin Research and Technology 2012; (in press).
20. Lissner I. Toward a unified color space for perception-based image processing. IEEE Trans Image Process 2012; 21: 1153-1168.
21. Delgado D, Butakoff C, Ersboll BK, Stoecker WV. Independent histogram pursuit for segmentation of skin lesions. IEEE Trans Biomed Eng 2008; 55: 157-161.
22. Schaefer G, Rajab M, Celebi ME, Iyatomi H. Colour and contrast enhancement for improved skin lesion segmentation. Comput Med Imag Grap 2011; 35: 99-104.
23. Ohashi T, Aghbari Z, Makinouchi A. Hill-climbing algorithm for efficient color based image segmentation. In IASTED International Conference On Signal Processing, Pattern Recognition, and Applications (SPPRA 2003), June 2003.
24. Aghbari ZA, Al-Haj R. Hill-manipulation: an effective algorithm for color image segmentation. Image Vis Comput 2006; 24: 894-903.