Emphasized Visualization of Hidden Age Spots Using Deep Learning of Young Skin

被引:1
|
作者
Matsuo, Rui [1 ]
Hasegawa, Makoto [1 ]
机构
[1] Tokyo Denki Univ, Dept Engn, Tokyo, Japan
关键词
skin care; visualization; age spots; deep learning; U-NET;
D O I
10.1109/ITC-CSCC52171.2021.9501434
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
An emphasized visualization of hidden age spots on the skin of older individuals using deep learning is discussed. Young person's UV skin images of younger people were captured using a medical dermoscopy digital camera. These UV images were then learned using neural networks. Even with a general smart phone camera, it is possible to generate an image that approximates a medical UV image through a trained neural network. The skin of a younger person has some moles but few age spots. Therefore, deep learning cannot be used to display hidden age spots that were not seen when the persons were young. By computing the difference image between a generated image and a generated image using images from the older generations, it is possible to extract hidden age spots.
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页数:4
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