Special Section on Quality Control by Artificial Vision: Nonconventional Imaging Systems

Texture descriptors based on adaptive neighborhoods for classification of pigmented skin lesions

[+] Author Affiliations
Víctor González-Castro

University of Edinburgh, Neuroimaging Sciences, Centre for Clinical Brain Sciences, 49 Little France Crescent, Edinburgh EH6 8SP, United Kingdom

Johan Debayle

École Nationale Supérieure des Mines de Saint-Étienne, SPIN/LGF UMR CNRS 5307, 158 Cours Fauriel, CS 62362, 42023 Saint-Étienne, France

Yanal Wazaefi, Mehdi Rahim, Bernard Fertil

Laboratoire des Sciences de l’Information et des Systèmes, UMR CNRS 7296, 163 Avenue de Luminy, 13288 Marseille Cedex 9, France

Caroline Gaudy-Marqueste, Jean-Jacques Grob

Hôpital de la Timone, Service de Dermatologie, Marseille, 264 rue Saint-Pierre, 13385 Marseille Cedex 5, France

J. Electron. Imaging. 24(6), 061104 (Sep 21, 2015). doi:10.1117/1.JEI.24.6.061104
History: Received May 28, 2015; Accepted August 12, 2015
Text Size: A A A

Abstract.  Different texture descriptors are proposed for the automatic classification of skin lesions from dermoscopic images. They are based on color texture analysis obtained from (1) color mathematical morphology (MM) and Kohonen self-organizing maps (SOMs) or (2) local binary patterns (LBPs), computed with the use of local adaptive neighborhoods of the image. Neither of these two approaches needs a previous segmentation process. In the first proposed descriptor, the adaptive neighborhoods are used as structuring elements to carry out adaptive MM operations which are further combined by using Kohonen SOM; this has been compared with a nonadaptive version. In the second one, the adaptive neighborhoods enable geometrical feature maps to be defined, from which LBP histograms are computed. This has also been compared with a classical LBP approach. A receiver operating characteristics analysis of the experimental results shows that the adaptive neighborhood-based LBP approach yields the best results. It outperforms the nonadaptive versions of the proposed descriptors and the dermatologists’ visual predictions.

Figures in this Article
© 2015 SPIE and IS&T

Citation

Víctor González-Castro ; Johan Debayle ; Yanal Wazaefi ; Mehdi Rahim ; Caroline Gaudy-Marqueste, et al.
"Texture descriptors based on adaptive neighborhoods for classification of pigmented skin lesions", J. Electron. Imaging. 24(6), 061104 (Sep 21, 2015). ; http://dx.doi.org/10.1117/1.JEI.24.6.061104


Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging & repositioning the boxes below.

Related Book Chapters

Topic Collections

Advertisement
  • Don't have an account?
  • Subscribe to the SPIE Digital Library
  • Create a FREE account to sign up for Digital Library content alerts and gain access to institutional subscriptions remotely.
Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).
Access This Proceeding
Sign in or Create a personal account to Buy this article ($15 for members, $18 for non-members).
Access This Chapter

Access to SPIE eBooks is limited to subscribing institutions and is not available as part of a personal subscription. Print or electronic versions of individual SPIE books may be purchased via SPIE.org.