Texture alteration detection in bitemporal images of lesions with psoriasis

Gabriela Mariel Maletti, Bjarne Kjær Ersbøll

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    Abstract

    The objective of this work is to explore the feasibility of quantifying textural change between pairs of segmented patterns without registering them. The Multi-variate Alteration Detection (M.A.D.) Transform is applied to a texture model constructed with the data of segmented psoriasis lesions images. The texture model is Haralick's co-occurrence matrix, which is computed and normalized for each single band with the equalized data of a given lesion. The contribution of each single color band to the textural change is analyzed.
    Original languageEnglish
    Publication statusPublished - 2003

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