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Wavelet-based statistical classification of skin images acquired with reflectance confocal microscopy

Halimi, Abdelghafour and Batatia, Hadj and Le Digabel, Jimmy and Josse, Gwendal and Tourneret, Jean-Yves Wavelet-based statistical classification of skin images acquired with reflectance confocal microscopy. (2017) Biomedical Optics Express, 8 (12). 5450-5467. ISSN 2156-7085

(Document in English)

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Official URL: http://dx.doi.org/10.1364/BOE.8.005450


Detecting skin lentigo in reflectance confocal microscopy images is an important and challenging problem. This imaging modality has not yet been widely investigated for this problem and there are a few automatic processing techniques. They are mostly based on machine learning approaches and rely on numerous classical image features that lead to high computational costs given the very large resolution of these images. This paper presents a detection method with very low computational complexity that is able to identify the skin depth at which the lentigo can be detected. The proposed method performs multiresolution decomposition of the image obtained at each skin depth. The distribution of image pixels at a given depth can be approximated accurately by a generalized Gaussian distribution whose parameters depend on the decomposition scale, resulting in a very-low-dimension parameter space. SVM classifiers are then investigated to classify the scale parameter of this distribution allowing real-time detection of lentigo. The method is applied to 45 healthy and lentigo patients from a clinical study, where sensitivity of 81.4% and specificity of 83.3% are achieved. Our results show that lentigo is identifiable at depths between 50μm and 60μm, corresponding to the average location of the the dermoepidermal junction. This result is in agreement with the clinical practices that characterize the lentigo by assessing the disorganization of the dermoepidermal junction.

Item Type:Article
Additional Information:Thanks to Optical Society of America editor. The original PDF of the article can be found at : https://www.osapublishing.org/boe/abstract.cfm?uri=boe-8-12-5450
HAL Id:hal-01677588
Audience (journal):International peer-reviewed journal
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE)
Other partners > Laboratoires Pierre Fabre (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UT3 (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
Laboratory name:
Pierre Fabre Dermo-cosmétique
Deposited On:08 Jan 2018 13:50

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