Silvio M. Pereira

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Chronic wounds, lesions, or ulcers due to venous insufficiency and other conditions typically have a nonuniform mixture of red granulation, yellow fibrin (slough), black necrotic eschar (scar), and white hyperkeratotic tissue (callous). Such a red-yellow-black-white (RYKW) model is used by clinicians as a descriptive tool. To facilitate the analysis of the(More)
We present color image processing methods for the analysis of images of dermatological lesions. The intended application is classification and analysis of the tissue composition of skin lesions or ulcers, in terms of granulation (red), fibrin (yellow), necrotic (black), callous (white), and mixed tissue composition. The images were analyzed and classified(More)
We present color image processing methods for the analysis of images of dermatological lesions. The focus of this study is on the application of feature extraction and selection methods for classification and analysis of the tissue composition of skin lesions or ulcers, in terms of granulation (red), fibrin (yellow), necrotic (black), callous (white), and(More)
We present color image processing methods for the characterization of images of dermatological lesions for the purpose of content-based image retrieval (CBIR) and computer-aided diagnosis. The intended application is to segment the images and perform classification and analysis of the tissue composition of skin lesions or ulcers, in terms of granulation(More)
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