Facial Skin Image Quality Appraisal Based on BP Neural Network
- VernacularTitle:基于BP神经网络的脸部皮肤图像质量评价
- Author:
Xujia HE
;
Mi ZHANG
;
Xiaoming WU
- Publication Type:Journal Article
- Keywords:
BP neural network;
skin image;
quality appraisal;
non-linear
- From:
Chinese Medical Equipment Journal
1989;0(01):-
- CountryChina
- Language:Chinese
-
Abstract:
Objective To appraise facial skin's quality conveniently and correctly.Methods The quality appraisal model for facial skin image was established based on improved BP nerve network algorithm,and the model was trained with the intrinsic pattern of the training sample,then the appraisal result was output after inputting indexes on the skin.Results For 23 sets of samples,the appraisal accuracy reached 95%.Conclusion The network model,with a high accuracy and a low error rate,is applicable to facial skin image quality appraisal.
