A COMPUTERIZED DESIGN OF PASI SCORING FOR REDNESS OF PSORIASIS SKIN DISEASE

• Main Author: Zakaria, Atiqah Farhana
• Format: Final Year Project
• Language: English
• Published: Universiti Teknologi PETRONAS 2007
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://utpedia.utp.edu.my/9471/1/2007%20-%20A%20Computerized%20Design%20of%20Parsi%20Scoring%20for%20Redness%20of%20Psoriasis%20Skin%20Disease.pdf; http://utpedia.utp.edu.my/9471/

Psoriasis is one type of skin disorder that is chronic inflammatory skin condition, characterized by localized, widespread well-demarcated red plaques often topped by silvery scales. Dermatologists are using Psoriasis Area and Severity Index (PASI) as a gold standard for evaluating level ofpsoriasis. Four basic characteristics of psoriasis lesion must be calculated for giving PASI score, one of them is lesion redness. The objective of this project is to design and build a computer-based system to enable system to detect lesion region and generate its PASI scoring for redness using image processing technique. The system would assist dermatologists to give the most suitable treatment to the different levels of psoriasis severity based on the redness score using PASI. The sample images are analyzed to classify the severity of the lesion based on color, area covered, shape, size and other features by applying engineering knowledge using the Digital Image Processing Tools in MATLAB7 software. Segmenting lesion from healthy skin is central part of this system. Several filtering and image processing techniques available in the MATLAB7 tools are applied to the sample images to produce their histograms and color distribution particularly in the region concerned. From the results, it shows that the technique used has potential to analyze the sample images. The accuracy of the system can be improved by applying different image processing technique. Result of this project can be analyzed further and served as identification of diagnosis to aid dermatologist in their work. The system is still open for further improvement to increase the accuracy and reliability.