Skip to main content

2014 | OriginalPaper | Buchkapitel

27. CLAHE Inspired Segmentation of Dermoscopic Images Using Mixture of Methods

verfasst von : Damilola A. Okuboyejo, Oludayo O. Olugbara, Solomon A. Odunaike

Erschienen in: Transactions on Engineering Technologies

Verlag: Springer Netherlands

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

The overarching objective of this study is to segment lesion areas of the surrounding healthy skin. The localization of the actual lesion area is an important step towards the automation of a diagnostic system for discriminating between malignant and benign lesions. We have applied a combination of methods, including intensity equalization, thresholding, morphological operation and GrabCut algorithm to segment the lesion area in a dermoscopic image. The result shows that the approach used in the study is effective in localizing lesion pixels in a dermoscopic image. This would aid the selection of discriminating features for the classification of malignancy of a given dermoscopic image.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literatur
2.
Zurück zum Zitat H. Pehamberger, A. Steiner, K. Wolff, In vivo Epiluminiscence microscopy of pigmented skin lesion: pattern analysis of pigmented skin lesions. J. Am. Acad Dermatol. 17, 571–583 (1987) H. Pehamberger, A. Steiner, K. Wolff, In vivo Epiluminiscence microscopy of pigmented skin lesion: pattern analysis of pigmented skin lesions. J. Am. Acad Dermatol. 17, 571–583 (1987)
3.
Zurück zum Zitat W. Stolz, A. Riemann, A. Cognetta et. al., ABCD rule of dermoscopy: a new practical method for early recognition of malignant melanoma. Eur. J. Dermatol. 4, 521–527 (1994) W. Stolz, A. Riemann, A. Cognetta et. al., ABCD rule of dermoscopy: a new practical method for early recognition of malignant melanoma. Eur. J. Dermatol. 4, 521–527 (1994)
4.
Zurück zum Zitat H. Kittler, Dermoscopy of pigmented skin lesions. G.Ital. Dermatol. Venereol. 139(6), 541–546 (2004) H. Kittler, Dermoscopy of pigmented skin lesions. G.Ital. Dermatol. Venereol. 139(6), 541–546 (2004)
5.
Zurück zum Zitat D.A. Okuboyejo, O.O. Olugbara, S.A. Odunaike, Automating skin disease diagnosis using image classification, Lecture Notes in Engineering and Computer Science. in Proceedings of the World Congress on Engineering and Computer Science 2013, WCECS, 2013, 23–25 Oct 2013, (USA, San Franscisco, 2013), pp. 850–854 D.A. Okuboyejo, O.O. Olugbara, S.A. Odunaike, Automating skin disease diagnosis using image classification, Lecture Notes in Engineering and Computer Science. in Proceedings of the World Congress on Engineering and Computer Science 2013, WCECS, 2013, 23–25 Oct 2013, (USA, San Franscisco, 2013), pp. 850–854
6.
Zurück zum Zitat P. Rubegni, G. Cevenini, M. Burroni, P. Roberto, G.D. Eva, P. Sbano, C. Moracco, P. Luzi, P. Tosi, P. Barbini, L. Andreassi, Automated diagnosis of pigmented skin lesion. Int. J. Cancer 101, 576–580 (2002) P. Rubegni, G. Cevenini, M. Burroni, P. Roberto, G.D. Eva, P. Sbano, C. Moracco, P. Luzi, P. Tosi, P. Barbini, L. Andreassi, Automated diagnosis of pigmented skin lesion. Int. J. Cancer 101, 576–580 (2002)
7.
Zurück zum Zitat C. Rosendahl, P. Tschandl, A. Cameron, H. Kittler, Diagnostic accuracy of dermatoscopy for melanocytic and nonmelanocytic pigmented lesions. J. Am. Acad Dermatol. 64, 1068–1073 (2001). doi: 10.1016/j.jaad.2010.03.039 C. Rosendahl, P. Tschandl, A. Cameron, H. Kittler, Diagnostic accuracy of dermatoscopy for melanocytic and nonmelanocytic pigmented lesions. J. Am. Acad Dermatol. 64, 1068–1073 (2001). doi: 10.​1016/​j.​jaad.​2010.​03.​039
8.
Zurück zum Zitat I. Stanganelli, A. Brucale, L. Calori, R. Gori, A. Lovato, S. Magi, B. Kopf, R. Bacchilega, V. Rapisarda, A. Testori, A. Ascierto, E. Simeone, M. Ferri, Computer-aided diagnosis of melanocytic lesions, in Proceedings of Anticancer Research, 2005, pp. 4577–4582 I. Stanganelli, A. Brucale, L. Calori, R. Gori, A. Lovato, S. Magi, B. Kopf, R. Bacchilega, V. Rapisarda, A. Testori, A. Ascierto, E. Simeone, M. Ferri, Computer-aided diagnosis of melanocytic lesions, in Proceedings of Anticancer Research, 2005, pp. 4577–4582
9.
Zurück zum Zitat A.K. Mittra, R. Parekh, Automated detection of skin disease using texture features. Int. J. Eng. Sci. Tech. 3(6) (2011) A.K. Mittra, R. Parekh, Automated detection of skin disease using texture features. Int. J. Eng. Sci. Tech. 3(6) (2011)
10.
Zurück zum Zitat K. Zuiderveld, Contrast Limited Adaptive Histogram Equalization, (Academic Press, New York, 1994), pp. 474–485 K. Zuiderveld, Contrast Limited Adaptive Histogram Equalization, (Academic Press, New York, 1994), pp. 474–485
11.
Zurück zum Zitat Q. Abbas, M.E. Celebi, I.F. García, Skin tumor area extraction using an improved dynamic programming approach. Skin Res. Tech. 18, 133–142 (2012) Q. Abbas, M.E. Celebi, I.F. García, Skin tumor area extraction using an improved dynamic programming approach. Skin Res. Tech. 18, 133–142 (2012)
12.
Zurück zum Zitat R. Dobrescu, M. Dobrescu, S. Mocanu, D. Popescu, Medical images classification for skin cancer diagnosis based on combined texture and fractal analysis, in Proceedings of WSEAS Transactions on Biology and Biomedicine, 2010 (2010) R. Dobrescu, M. Dobrescu, S. Mocanu, D. Popescu, Medical images classification for skin cancer diagnosis based on combined texture and fractal analysis, in Proceedings of WSEAS Transactions on Biology and Biomedicine, 2010 (2010)
13.
Zurück zum Zitat H. Ganster, A. Pinz, R. Roher, E. Wilding, M. Binder, H. Kittler, Automated melanoma recognition. IEEE Trans. Med. Imaging 20(3), 3 (2001) H. Ganster, A. Pinz, R. Roher, E. Wilding, M. Binder, H. Kittler, Automated melanoma recognition. IEEE Trans. Med. Imaging 20(3), 3 (2001)
14.
Zurück zum Zitat P.G. Cavalcanti, J. Scharcanski, A coarse-to-fine approach for segmenting melanocytic skin lesions in standard camera images. Comput. Methods Programs Biomed. 112, 684–693 (2013). doi: 10.1016/j.cmpb.2013.08.010 P.G. Cavalcanti, J. Scharcanski, A coarse-to-fine approach for segmenting melanocytic skin lesions in standard camera images. Comput. Methods Programs Biomed. 112, 684–693 (2013). doi: 10.​1016/​j.​cmpb.​2013.​08.​010
16.
Zurück zum Zitat N. Tsumura, N. Ojima, K. Sato, M. Shiraishi, H. Shimizu, H. Nabeshima, S. Akazaki, K. Hori, Y. Miyake, Image-based skin color and texture analysis/synthesis by extracting hemoglobin and melanin information in the skin. in ACMSIGGRAPH, SIGGRAPH’03,; 2003; (ACM, New York, NY, USA, 2003), pp. 770–779 N. Tsumura, N. Ojima, K. Sato, M. Shiraishi, H. Shimizu, H. Nabeshima, S. Akazaki, K. Hori, Y. Miyake, Image-based skin color and texture analysis/synthesis by extracting hemoglobin and melanin information in the skin. in ACMSIGGRAPH, SIGGRAPH’03,; 2003; (ACM, New York, NY, USA, 2003), pp. 770–779
17.
Zurück zum Zitat M.M. Rahman, P. Bhattacharya, B.C. Desai, A multiple expert-based melanoma recognition system for dermoscopic images of pigmented skin lesions, in Proceedings of 8th IEEE International Conference on BioInformatics and BioEngineering (BIBE), 2008, 8–10 Oct 2008, pp. 1–6 M.M. Rahman, P. Bhattacharya, B.C. Desai, A multiple expert-based melanoma recognition system for dermoscopic images of pigmented skin lesions, in Proceedings of 8th IEEE International Conference on BioInformatics and BioEngineering (BIBE), 2008, 8–10 Oct 2008, pp. 1–6
18.
Zurück zum Zitat G. Schaefer, M.I. Rajab, M.E. Celebi, H. Iyatomi, Skin lesion extraction in dermoscopic images based on colour enhancement and iterative segmentation, in Proceedings of ICIP (2009), pp. 3361–3364 G. Schaefer, M.I. Rajab, M.E. Celebi, H. Iyatomi, Skin lesion extraction in dermoscopic images based on colour enhancement and iterative segmentation, in Proceedings of ICIP (2009), pp. 3361–3364
19.
Zurück zum Zitat S. Supot, Border detection of skin lesion images based on fuzzy C-Means thresholding, in Proceedings of 3rd International Conference on Genetic and Evolutionary Computing (2009), pp. 777–780 S. Supot, Border detection of skin lesion images based on fuzzy C-Means thresholding, in Proceedings of 3rd International Conference on Genetic and Evolutionary Computing (2009), pp. 777–780
20.
Zurück zum Zitat M.E. Yuksel, M. Borlu, Accurate Segmentation of dermoscopic images by image thresholding based on type-2 fuzzy logic. IEEE Trans. Fuzzy Syst. 17(4), 976–982 (2009) M.E. Yuksel, M. Borlu, Accurate Segmentation of dermoscopic images by image thresholding based on type-2 fuzzy logic. IEEE Trans. Fuzzy Syst. 17(4), 976–982 (2009)
21.
Zurück zum Zitat S.M.S. Ebrahimi, H. Pourghassem, Lesion Detection in dermoscopy images using Sarsa reinforcement algorithm, in Proceedings of 17th Iranian Conference of Biomedical Engineering (ICBME2010), 2010, 3–4 Nov 2010 S.M.S. Ebrahimi, H. Pourghassem, Lesion Detection in dermoscopy images using Sarsa reinforcement algorithm, in Proceedings of 17th Iranian Conference of Biomedical Engineering (ICBME2010), 2010, 3–4 Nov 2010
22.
Zurück zum Zitat M.E. Celebi, S. Hwang, H. Iyatomi, G. Schaefer, Robust Border detection in dermoscopy images using threshold fusion, in Proceedings of IEEE 17th International Conference on Image Processing, 2010, Hong Kong, 26–29 Sept 2010 M.E. Celebi, S. Hwang, H. Iyatomi, G. Schaefer, Robust Border detection in dermoscopy images using threshold fusion, in Proceedings of IEEE 17th International Conference on Image Processing, 2010, Hong Kong, 26–29 Sept 2010
23.
Zurück zum Zitat J. Humayun, A.S. Malik, N. Kamel, Multilevel thresholding for segmentation of pigmented skin lesions, in Proceedings of IEEE International Conference on Imaging Systems and Techniques (IST) (2011) J. Humayun, A.S. Malik, N. Kamel, Multilevel thresholding for segmentation of pigmented skin lesions, in Proceedings of IEEE International Conference on Imaging Systems and Techniques (IST) (2011)
24.
Zurück zum Zitat C. Rother, V. Kolmogorov, A. Blake, GrabCut: interactive foreground extraction using iterated graph cuts. in ACM SIGGRAPH; 2004, (ACM, Los Angeles, California, 2004), Aug 2004, pp. 309–314 C. Rother, V. Kolmogorov, A. Blake, GrabCut: interactive foreground extraction using iterated graph cuts. in ACM SIGGRAPH; 2004, (ACM, Los Angeles, California, 2004), Aug 2004, pp. 309–314
25.
Zurück zum Zitat D.J. Ketcham, R.W. Lowe, J.W. Weber, Image enhancement techniques for cockpit displays, Technical report (1974) D.J. Ketcham, R.W. Lowe, J.W. Weber, Image enhancement techniques for cockpit displays, Technical report (1974)
26.
Zurück zum Zitat Y. Boykov, M.P. Jolly, Interactive graph cuts for optimal boundary and region segmentation of objects in N-D images, in Proceedings of IEEE International Conference on Computer Vision (2001) Y. Boykov, M.P. Jolly, Interactive graph cuts for optimal boundary and region segmentation of objects in N-D images, in Proceedings of IEEE International Conference on Computer Vision (2001)
27.
Zurück zum Zitat M. Orchard, C. Bouman, Color quantization of images. IEEE Trans. Sig. Process. 39, 2677–2690 (1991) M. Orchard, C. Bouman, Color quantization of images. IEEE Trans. Sig. Process. 39, 2677–2690 (1991)
Metadaten
Titel
CLAHE Inspired Segmentation of Dermoscopic Images Using Mixture of Methods
verfasst von
Damilola A. Okuboyejo
Oludayo O. Olugbara
Solomon A. Odunaike
Copyright-Jahr
2014
Verlag
Springer Netherlands
DOI
https://doi.org/10.1007/978-94-017-9115-1_27

Neuer Inhalt