AN IMAGE BASED SYSTEM TO OBJECTIVEI,Y SCORE THE DEGREE OF REDNESS IN PSORIASIS LESIONS

• Main Author: WAN MUDA, WAN MAISARAH
• Format: Final Year Project
• Language: English
• Published: Universiti Teknologi PETRONAS 2006
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://utpedia.utp.edu.my/9320/1/2006%20-%20AN%20IMAGE%20BASED%20SYSTEM%20TO%20OBJECTIVELY%20SCORE%20THE%20DEGREE%20OF%20REDNESS%20IN%20PSORIASIS%20LESIONS.pdf; http://utpedia.utp.edu.my/9320/

Nowadays, many skin diseases exist, ranging from hannless such as benign tumors to highly cancerous ones such as malignant melanoma. The visual resemblance of skin lesions requires experienced dennatologists for diagnosis and treatment of skin diseases. One of the most common types of the skin diseases is psoriasis which is chronic inflammatory skin condition, characterized by localized, widespread welldemarcated red plaques often topped by silvery scales. The basic characteristics of psoriasis lesions namely redness, thickness, and scaliness provide a mean of assessing the severity of psoriasis. Dennatologists are using Psoriasis Area and Severity Index (P ASI) score, which takes into account signs such as redness, plaque thickness and scaling in order to assess psoriasis disease severity. The objective of this project is to generate the score of the redness and score of the area covered by psoriasis in order to build automated imaging system capable of classifYing the severity of the disease. This system would assist dennatologists to give the suitable treatment to the different levels of psoriasis severity based on the PASI score. The psoriasis lesion images will be analyzed to classifY the severity based on color, shape, size, and other features by using the Digital Image Processing Tools in MATLAB7 soflware. The entire infonnation obtained through the computer vision and image processing as well as MATLAB7 soflware is applied towards the development of this project. The project will be implemented in two stages .. The first stage (semester 1) involves literature review, research, data gathering, learning and training of the soflware or program and the second stage (semester 2) is analysis of core features, design, testing and analysis of results.