Fujii Hideaki, Yanagisawa Takashi, Mitsui Masanori, Murakami Yuri, Yamaguchi Masahiro, Ohyama Nagaaki, Abe Tokiya, Yokoi Ikumi, Matsuoka Yoshie, Kubota Yasuo
Tokyo Institute of Technology, Imaging Science and Engineering Laboratory 4259 Nagatsuta-cho, Midori-ku, Yokohama, Kanagawa 226-8503, Japan. fujii@ isl.titech.ac.jp
Annu Int Conf IEEE Eng Med Biol Soc. 2008;2008:4078-81. doi: 10.1109/IEMBS.2008.4650105.
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).
在痤疮治疗中，准确评估痤疮的严重程度很重要。痤疮应分为几种皮肤损害，包括粉刺、红色丘疹、脓疱和瘢痕。然而，在某些情况下，从RGB图像进行视觉检测可能难以对痤疮皮肤损害进行恰当评估。本文提出一种利用从痤疮皮肤损害的多光谱图像（MSI）计算出的各种类型痤疮皮肤损害的光谱信息的提取方法。在实验中，我们展示了通过应用几种线性判别函数（LDF）的组合来对痤疮损害类型进行分类的可能性。
