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

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.