Automated Assessment of Facial Vitiligo Using Multi-View UV Images and Landmark-Based Facial Region Subdivision

Vitiligo, a skin condition characterized by depigmented patches, significantly affects patients' quality of life. Current evaluation methods, such as the Facial Vitiligo Area Scoring Index (F-VASI), rely on subjective clinical assessments and often require specialized equipment. This study introduces a novel approach for the automated assessment of facial vitiligo using multi-view UV images and a landmark-based facial region subdivision algorithm. By leveraging detected facial landmarks, binary masks were created to segment the face into subregions, enabling detailed evaluation of depigmentation patterns without additional equipment. This work represents a significant step toward objective and efficient vitiligo evaluation.