用区域校准让手机皮肤色度测量跨设备更可靠，适合临床使用。
Region-Specific Calibration Achieves Excellent Inter-Device Reliability for Smartphone Dermatology: A Multi-Device Benchmark on Korean Facial Skin
- 按面部区域分别校准颜色，比全局校准更精准
- 校准后黑素指数与肤色角度的可靠性达优秀水平（ICC>0.9）
- 适合做跨设备皮肤检测的医生和研究者参考
背景：基于智能手机的皮肤科应用需在不同设备间保持色度一致性，但缺乏量化多设备基准。方法：分析965名韩国受试者由DSLR相机、消费级平板和手机拍摄的面部图像，以DSLR为参考，评估两种校准方法：标准全局线性色彩校正矩阵（CCM）和按解剖区域训练的区域特异性CCM，均在CIELAB空间中实施。结果：线性CCM使设备间色差降低61%-74%，将黑素指数（ICC=0.80）和个体体型角（ITA, ICC=0.78）提升至良好可靠性范围；区域特异性CCM进一步将其推入优秀范围（MI ICC=0.95, ITA ICC=0.93），其中解剖区域差异是预校准阶段最大方差来源（ANOVA η²=0.18，高于设备源的0.12）。结论：消费级设备通过标准校准已实现临床可用的跨设备色度一致性，而区域感知校准是当前最主要的改进方向。
原文摘要 · Abstract (English)
Background: Smartphone-based dermatology requires inter-device colorimetric reliability that holds across calibration regimes, yet quantitative multi-device benchmarks remain scarce. Materials and Methods: We analyzed matched facial images from 965 Korean subjects captured by a digital single-lens reflex (DSLR) camera, a consumer tablet, and a consumer smartphone, and evaluated two calibration methods against the DSLR reference. The methods are standard global linear Color Correction Matrix (CCM) normalization and region-specific CCM trained per anatomical region, both applied in Commission Internationale de l'Eclairage Lab* (CIELAB) space. Results: Linear CCM reduced inter-device color differences by 61-74% and placed both Melanin Index (intraclass correlation coefficient [ICC] = 0.80) and Individual Typology Angle (ITA, ICC = 0.78) in the good reliability band. Region-specific CCM raised both indices into the excellent reliability band (MI ICC = 0.95, ITA ICC = 0.93), with anatomical region exceeding the source device as the largest pre-calibration variance contributor (analysis-of-variance $η^2 = 0.18$ versus 0.12). Conclusion: Consumer-device skin colorimetry therefore achieves clinically useful inter-device reliability using standard calibration, with region-aware calibration the largest remaining source of improvement.
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