Multiple-level Logarithmic Wavelets for Mammographic Contrast Enhancement: A Statistical Analysis for Wavelet Selection
Título del documento: Multiple-level Logarithmic Wavelets for Mammographic Contrast Enhancement: A Statistical Analysis for Wavelet Selection
Revista: Computación y sistemas
Base de datos:
Número de sistema: 000560155
ISSN: 1405-5546
Autores: 1
2
1
Instituciones: 1Universidad de La Habana, Facultad de Matemática y Computación, La Habana. Cuba
2Pontifícia Universidade Católica do Rio de Janeiro, Rio de Janeiro. Brasil
Año:
Periodo: Abr-Jun
Volumen: 22
Número: 2
Paginación: 621-637
País: México
Idioma: Inglés
Tipo de documento: Artículo
Resumen en inglés Low doses radiation in mammography results in low contrast images. In this paper we propose a method to enhance the contrast in mammography; it combines the modification of the coefficients of the Logarithmic Discrete Wavelet Transform using the Local Correlation method and Symmetric Logarithmic Image Processing model. Experimental results shown the better performance for the anomalies known as calcifications and masses. This paper also presents a methodology to select a combination of decomposition levels to be processed for good contrast improvement according to the values of measures based on region of interest. This procedure relies on Principal Components Analysis of the data. The experiments show that the chosen combination of levels can improve the contrast in mammograms, and that the regions of interest definition is an important factor to explain the poor contrast improvement of some anomalies.
Disciplinas: Ciencias de la computación
Palabras clave: Procesamiento de datos,
Anomalías,
Contraste,
Wavelet logarítmica discreta,
Mamografías,
Imágenes,
Análisis estadístico
Keyword: Anomalies,
Contrast,
Mammograms,
Logarithmic discrete wavelet transform,
Data processing,
Images,
Statistical analysis
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