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Commenced in January 2007 Frequency: Monthly Edition: International Publications Count: 29414


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10000824
Fuzzy Based Visual Texture Feature for Psoriasis Image Analysis
Abstract:
This paper proposes a rotational invariant texture feature based on the roughness property of the image for psoriasis image analysis. In this work, we have applied this feature for image classification and segmentation. The fuzzy concept is employed to overcome the imprecision of roughness. Since the psoriasis lesion is modeled by a rough surface, the feature is extended for calculating the Psoriasis Area Severity Index value. For classification and segmentation, the Nearest Neighbor algorithm is applied. We have obtained promising results for identifying affected lesions by using the roughness index and severity level estimation.
Digital Object Identifier (DOI):

References:

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