This paper addresses a need by dermatologists of being able to assess quantitatively the change in severity of the skin disease rosacea. Traditionally, the efficacy of a treatment could only be assessed subjectively, such as by a dermatologist at weekly intervals giving a patient under treatment a score related to the degree of severity of the rosacea, with say a score of 5 meaning “severe” and a score of 1 “mild”. The method proposed in this paper is the first to offer an objective measure of the change in severity of rosacea; the basic idea is to use image processing techniques to find, assess and compare the sizes and degrees of redness of skin in photographs of a patient’s face taken over a period of time. Challenges include the need to take into account the different lighting conditions and orientations of the photographs.
[1]
S. Pizer,et al.
The Image Processing Handbook
,
1994
.
[2]
Alvy Ray Smith,et al.
Color gamut transform pairs
,
1978,
SIGGRAPH.
[3]
A. Gupta,et al.
Topical metronidazole for rosacea.
,
2002,
Skin therapy letter.
[4]
Masahiro Yamaguchi,et al.
Extraction of acne lesion in acne patients from multispectral images
,
2008,
2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[5]
Vladimir Vezhnevets,et al.
A Survey on Pixel-Based Skin Color Detection Techniques
,
2003
.