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Unsupervised wrinkle detection in reflectance confocal microscopy images of the human skin.
- Source :
- 2012 IEEE International Conference on Acoustics, Speech & Signal Processing (ICASSP); 1/ 1/2012, p705-708, 4p
- Publication Year :
- 2012
-
Abstract
- Reflectance confocal microscopy (RCM) is a non-invasive and in-vivo imaging modality, which can take images from different depths of the human skin. A challenging problem is to detect a clinically important subsurface section of the skin, the Dermis/Epidermis junction, in RCM images. This is a tough problem because of the huge variation of texture and intensity features across both intersubject and intrasubject tissues. On the other hand, there's almost no wrinkle-free part of the skin. This well-known phenomenon can be used as a histological clue for guessing the probability of being Dermis or Epidermis in the neighboring regions. In this paper, we develop a two-step wrinkle detector for RCM images. By analyzing the results on different RCM images, we conclude it has high sensitivity and specificity, but a relatively lower Jaccard index. [ABSTRACT FROM PUBLISHER]
Details
- Language :
- English
- ISBNs :
- 9781467300452
- Database :
- Complementary Index
- Journal :
- 2012 IEEE International Conference on Acoustics, Speech & Signal Processing (ICASSP)
- Publication Type :
- Conference
- Accession number :
- 86551652
- Full Text :
- https://doi.org/10.1109/ICASSP.2012.6287981