One Intelligent Facial Blackheads Identification Method Based on Computer Vision Technology

Yanwen Jiang, Hua Sun, Gang Jin, Jiaping Chen, X. Qian
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Abstract

Blackheads are a subtype of acne. As a cosmetic problem, it seriously affects patient's facial appearance and psychological condition. So it has attracted more and more public attention in recent years. However due to the evaluation standards are not uniformed, the grade methods of existing acne still are lack of objective quantitative standard. Even for professionals with long training, there remains great variability among the evaluators. The experimental shows that the new intelligent method is similar to the results of professional dermatologists in terms of blackheads counting and has high efficiency advantages. What's more, it achieves the leap from qualitative to quantitative analysis in blackheads identification field.
一种基于计算机视觉的面部黑头智能识别方法
黑头是痤疮的一种亚型。作为一个美容问题,它严重影响患者的面部外观和心理状况。因此,近年来它引起了越来越多的公众关注。但由于评价标准不统一,现有痤疮的分级方法仍缺乏客观的定量标准。即使是受过长期培训的专业人员,评估人员之间也存在很大的差异。实验表明,新的智能方法在黑头计数方面与专业皮肤科医生的结果相似,具有效率高的优势。实现了黑头识别领域从定性分析到定量分析的跨越。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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