Contrast enhancement by searching discriminant color projections in dermoscopy images

Keywords: Components, contrast enhancement, color, projection PCA, projection FDA, dermoscopy images

Abstract

The use of color as a strategy for enhancing the contrast is useful for conducting feature extraction procedures in images with high illumination disorders; hence, in order to correct contrast problems in images that were erroneously acquired, a method that automatically searches the discriminant projections of the color map depending on the original data dispersion is proposed. This method is based on techniques such as Fisher discriminant analysis (FDA) and principal component analysis (PCA). Because this is an unsupervised method, it can be used in images that were captured without taking into account the acquisition protocol and with non-uniform illumination. The method was tested using a set of 40 dermoscopy images, and a performance greater than 82% was obtained.

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Author Biographies

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

Pedro Felipe Jaramillo Ayerbe, Universidad de Caldas

Médico, especialista en dermatología.

Grupo Telesalud, Facultad de Ciencias de la Salud

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Published
2016-06-16
How to Cite
Restrepo Parra E., Ocampo Blandón C. F., Riaño Rojas J. C., & Jaramillo Ayerbe P. F. (2016). Contrast enhancement by searching discriminant color projections in dermoscopy images. Revista Facultad De Ingeniería Universidad De Antioquia, (79), 192-200. https://doi.org/10.17533/udea.redin.n79a18