Cross-evaluation of facial hyperpigmented lesions based on fluorescence color image and cross-polarized color image
Article first published online: 25 OCT 2012
© 2012 John Wiley & Sons A/S. Published by Blackwell Publishing Ltd
Skin Research and Technology
Volume 19, Issue 1, pages e459–e464, February 2013
How to Cite
Kim, E., Kim, D., Choi, E. H. and Jung, B. (2013), Cross-evaluation of facial hyperpigmented lesions based on fluorescence color image and cross-polarized color image. Skin Research and Technology, 19: e459–e464. doi: 10.1111/j.1600-0846.2012.00665.x
- Issue published online: 7 JAN 2013
- Article first published online: 25 OCT 2012
- Manuscript Accepted: 4 JUL 2012
- CLAHE ;
- fuzzy c-means algorithm
Hyperpigmentation is a common skin problem that looks darker than normal skin regions. Accurate evaluation of a hyperpigmented lesion (HPL) is of clinical importance because proper choice of treatment can be dependent on it. This study aimed to differentiate between epidermal and dermal HPLs.
Cross-polarized color images (CPCIs) and fluorescence color images (FCIs) were acquired from the same facial regions. Contrast-limited adaptive histogram equalization (CLAHE) was employed to enhance the image contrast and a fuzzy c-means algorithm was implemented to extract the HPLs. The HPLs were superimposed to investigate the difference between CPCI and FCI.
The HPL was successfully extracted by applying both CLAHE and fuzzy c-means algorithms. CPCI and FCI resulted in a slightly different HPL, even from the same facial region, indicating a greater percentage area of HPL in FCI than CPCI.
CPCI and FCI may be utilized to differentiate HPLs that exist in different skin layers. Thus, this approach may contribute to the effective treatment of HPLs.