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Software tool for contrast enhancement and segmentation of melanoma images based on human perception

Opened Access Software tool for contrast enhancement and segmentation of melanoma images based on human perception
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Autor: Fondón García, Irene
Abbas, Qaisar
Celebi, M. Emre
Ahmad, Waqar
Mushtaq, Qaisar
Departamento: Universidad de Sevilla. Departamento de Teoría de la Señal y Comunicaciones
Fecha: 2013
Publicado en: Image-A : Applicable Mathematics in Image Engineering, 3 (6), 45-48
Tipo de documento: Artículo
Resumen: In this paper we present a software tool for melanoma border detection (MBD). It has been designed to be incorporated in any Computer Aided Diagnosis Tool (CAD) for early detection of melanoma in mass screening programs. The tool is completely automatic, posses a user-friendly interface and does not require any specific hardware. The main steps followed by the implemented algorithm are: uneven illumination correction, color contrast improvement and color image segmentation. All of them are performed in the uniform color space CIE L * a * b * in order to achieve a complete adaptation to human color perception. The program is able to provide not only the final obtained segmentation result but also intermediate graphical outcomes, guiding the user in the process of melanoma detection. This simple, friendly but powerful interface can serve as a support for the medical personnel in the melanoma diagnostic process. The MBD software and some samples of the dermoscopy images used can be downl...
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Tamaño: 633.1Kb
Formato: PDF

URI: http://hdl.handle.net/11441/26530

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