arXiv Computer Vision October 26, 2026 By Alex Navarro Navarro, Marc Arriaga Hidalgo, Carlos Moreno Rubio, Maxime Talarmain, Noelia Vaquero Gallardo

Hair Segmentation and Skin Characterization on Macroscopic Dermatological Images for Laser Treatment Parameterization

Read the original on arXiv Computer Vision →

The paper introduces a unified system that performs hair segmentation and skin characterization on macroscopic dermatological images, specifically tailored for real clinical laser treatments. It combines a custom YOLOv9 variant for instance segmentation with classical image processing and a spectrophotometric color calibration stage to extract objective parameters such as phototype, hair density, color, and thickness. Experimental results on a custom dataset show competitive segmentation performance (mAP@50 ≈ 0.80) for short, shaved hairs typical of pre‑treatment scenarios, demonstrating the pipeline’s feasibility for future automated laser parameterization.

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