Contrast enhancement by searching discriminant color projections in dermoscopy images

Elisabeth Restrepo-Parra; Cristian Felipe Ocampo-Blandón; Juan Carlos Riaño-Rojas; Felipe Jaramillo-Ayerbe

doi:10.17533/udea.redin.n79a18

Autores/as

Elisabeth Restrepo-Parra Universidad Nacional de Colombia https://orcid.org/0000-0002-1734-1173
Cristian Felipe Ocampo-Blandón Universidad Nacional de Colombia
Juan Carlos Riaño-Rojas Universidad Nacional de Colombia https://orcid.org/0000-0002-5719-2854
Felipe Jaramillo-Ayerbe Universidad de Caldas https://orcid.org/0000-0002-0982-4335

DOI:

https://doi.org/10.17533/udea.redin.n79a18

Palabras clave:

mejoramiento del contraste, color, proyección PCA, proyección FDA, imágenes dermatoscópicas, componentes

Resumen

El uso del color como una estrategia de incremento del contraste para procedimientos de extracción de características en imágenes con altos desórdenes de iluminación es de gran utilidad; por lo tanto, con el fin de corregir los problemas de contraste en imágenes que fueron adquiridas erróneamente, se propone un método que busca automáticamente proyecciones discriminantes del mapa de color dependiendo de la dispersión los datos originales. Este método se basa en técnicas tales como análisis discriminante de Fisher (FDA) y análisis de componentes principales (PCA). Debido a que este es un método no supervisado, puede ser empleado en imágenes que fueron capturadas sin tomar en cuenta el protocolo de adquisición y con iluminación no uniforme. El método fue empleado en un conjunto de 40 imágenes dermatoscópicas, obteniéndose un desempeño superior al 82%.

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Biografía del autor/a

Elisabeth Restrepo-Parra, Universidad Nacional de Colombia

Ingeniera Electricista, MSc. en Física y Dra. en Ingeniería. Profesora del Departamento de Física y Química. Grupo PCM Computational Applications, Facultad de Ciencias Exactas y Naturales.

Cristian Felipe Ocampo-Blandón, Universidad Nacional de Colombia

Ingeniero Electrónico, MSc. en Ingeniería- Linea automática. Grupo PCM Computational Applications, Facultad de Ciencias Exactas y Naturales.

Juan Carlos Riaño-Rojas, Universidad Nacional de Colombia

Matemático, MSc en Matemática, Dr. en Ingeniería Linea Automática.. Profesor del Departamento de Matemáticas y estadística. Grupo PCM Computational Applications, Facultad de Ciencias Exactas y Naturales.

Felipe Jaramillo-Ayerbe, Universidad de Caldas

Médico, especialista en dermatología. Grupo Telesalud, Facultad de Ciencias de la Salud.

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