Abstract:
Skin illnesses are common and varied, resulting from a range of causes including viral
agents, allergies, bacterial infestations, and fungal infections. Even if advances in
medical technology, especially in optics and photonics, have made it possible to detect
skin diseases more quickly and accurately, the related expenses continue to be a barrier.
To meet this difficulty, image processing methods show up as an affordable way to test
for skin issues early on. This study tackles the urgent need for easily available and
effective skin disease diagnosis, especially in light of the high incidence of these
problems in places like Saudi Arabia where dry weather increases the risk of
dermatological illnesses. Our study presents a cost-effective and timely technique for the
detection of skin disorders based on image processing. The suggested approach entails
taking digital pictures of the afflicted skin regions, which are analyzed to identify the
precise illness kind. This method offers a quick and effective way to classify while also
streamlining and expediting the diagnostic procedure. Our work highlights the
importance of feature extraction in the categorization of skin diseases, as computer
vision methods are used to improve detection accuracy. Our method, which uses these
technologies, advances the field of disease of the skin investigation, and provides a
useful resource for everyone looking for an accessible aesthetic screening as well as
medical experts.
