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AUTOMATED SCORING FOR SCALINESS OF PSORIASIS LESIONS USING EDGE DETECTION

ZAINAL ABIDIN, MUHAMMAD HAFIZUDDIN (2007) AUTOMATED SCORING FOR SCALINESS OF PSORIASIS LESIONS USING EDGE DETECTION. Universiti Teknologi PETRONAS. (Unpublished)

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Abstract

Skin diseases affect 20-30% of the population at any one time, interfering with activities in 10%. Psoriasis, an Mamniatory skin condition and currently incurable is one of the most common skin diseases. About 80% of people who develop psoriasis have plaque psoriasis, which appears as patches of raised, reddish skiii covered by silvery-white scale. The Psoriasis Area and Severity Index (PASI) is the most widely Used tool to assess psoriasis disease severity in clinical trials, although it can be exceedingly cumbersome for use in daily clinical practice. It is proven to be extremely effective in assessing Psoriasis. When Using the PASI, psoriatic plaques are graded based on three criteria: redness, thickness, and scaliness. For the time being, the PASI-scoring are subjective since the assessments are done Visually by the dermatologist. The assessment will result in inter-individual variation between estimates due to different level of experiences and visual acuity. The aim of this project is to develop an automated scoring for scaliness of Psoriasis lesions program Using MATLAB. This project will be Using 2-D Psoriasis images obtained from General Hospital, Kuala Lumpur and medical database online. The MATLAB software will be Used to develop algorithms that are capable to read images of Psoriasis and grade the scaliness scores using the PASI-score texture analysis. The targeted system will include subsystem for acquiring the images, image processing, segmentation, texture analysis for scaliness score and severity based on PASI system.

Item Type: Final Year Project
Academic Subject : Academic Department - Electrical And Electronics - Instrumentation and Control - Control Systems - Industrial Automation & Control Systems
Subject: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Engineering > Electrical and Electronic
Depositing User: Users 2053 not found.
Date Deposited: 24 Oct 2013 14:56
Last Modified: 25 Jan 2017 09:45
URI: http://utpedia.utp.edu.my/id/eprint/9777

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