Extraction of acne lesion in acne patients from multispectral images.
In acne treatment, it is important to accurately evaluate the severity of Acne. The acne should be classified into several skin lesions including comedo, reddish papule, pustule, and scar. However, in some cases, a visual detection from RGB image maybe difficult for the proper evaluation of acne skin lesions. This paper proposes an extraction method using the spectral information of the various type of acne skin lesions calculated from the multispectral images (MSI) of the lesions. In the experiment, we showed the possibility of classifying acne lesion types by applying a combination of several linear discriminant functions (LDF's).
Fujii
Hideaki
H
Tokyo Institute of Technology, Imaging Science and Engineering Laboratory 4259 Nagatsuta-cho, Midori-ku, Yokohama, Kanagawa 226-8503, Japan. fujii@ isl.titech.ac.jp
Yanagisawa
Takashi
T
Mitsui
Masanori
M
Murakami
Yuri
Y
Yamaguchi
Masahiro
M
Ohyama
Nagaaki
N
Abe
Tokiya
T
Yokoi
Ikumi
I
Matsuoka
Yoshie
Y
Kubota
Yasuo
Y
D000152:Acne Vulgaris / Q000175:diagnosis* / Q000503:physiopathology; D000465:Algorithms; D003880:Dermatology / Q000379:methods; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D004867:Equipment Design; D005145:Face; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted; D012867:Skin / Q000473:pathology*; D013053:Spectrophotometry / Q000379:methods