Identification of Psoriasis Lesion Features Using Daubechies D4 Wavelet Technique

摘要

This paper presents a study on identifying the features related to the psoriasis lesion using wavelet as the main analyzing tool. Three major types of lesion are being analyzed in this study; plaque, erythroderma and guttate. In order to obtain the coefficients of the approximations and details sub-images, images of these lesions are transformed using two dimensional (2D) Discrete Wavelet Transform (DWT) Daubechies D4 algorithm at first level by using MATLAB software.The results are compared with study done previously but by using Daubechies D8 and D12 wavelet technique.