Author : Aditi Andhare

Psoriasis is an incurable, long term skin condition that affects 125 million of the world’s population. It can have a remarkable negative impact on the patient’s physical, emotional, psychological state. There is no specific medical test exists for psoriasis. Only visual examination is done by looking at skin lesions. Psoriasis is distinguished from other skin diseases by the images taken via the camera. Hence, the image-based algorithm can be used to detect psoriasis. The computer-aided system can be used to automatically segregate psoriasis lesion and healthy skin from skin images using computer vision and machine learning techniques. Prepossessing the color skin images to extract significant features and classifying helps in detecting psoriasis. This can be achieved with the help of computer vision and machine learning techniques. The proposed system aims to achieve this using a median filter for noise removal, skin masking for segmentation and CNN as a classifier.

Keywords: Dermatology, Psoriasis, Computer vision, Image processing, Machine learning, Computational Intelligence, Automated disease diagnosis.