Evaluation of scaly levels in psoriasis using multispectral polarized imaging

Abstract

Psoriasis is a chronic inflammatory skin condition characterised by the changes of skin cell’slife cycle. These skin patches are typically red, itch, and scale. Psoriasis area severity index (PASI) is currently the gold standard score for the assessment and management of psoriasis level. However, using PASI is sometimes subjective as it is possible to derive two different severity scores with the same lesion. In this research, we developed the multispectral polarized imaging system to capture the image of psoriasis and used image processing method for evaluating the scaly levels. Based on that, the algorithm has been developed to directly and automatically segment scale from the skin surface and the redness regions. This system will be able to diagnose of psoriasis skin disease more quickly and exactly according to PASI index.