Dark Channel Applied for Reduction of the Effects of Non-uniform Illumination in Image Binarization
Título del documento: Dark Channel Applied for Reduction of the Effects of Non-uniform Illumination in Image Binarization
Revista: Computación y sistemas
Base de datos:
Número de sistema: 000560327
ISSN: 1405-5546
Autores: 2
3
4
1
3
Instituciones: 1Universidad Autónoma de Querétaro, Facultad de Informática, Juriquilla, Querétaro. México
2Barcelona Supercomputing Center, Barcelona. España
3Universidad Autónoma de Querétaro, Facultad de Ingeniería, Querétaro. México
4Universidad Autónoma de Guadalajara, Zapopan, Jalisco. México
Año:
Periodo: Abr-Jun
Volumen: 23
Número: 2
Paginación: 409-416
País: México
Idioma: Inglés
Tipo de documento: Artículo
Resumen en inglés Non-uniform illumination is a common issue in images acquired in uncontrolled environments. Elimination or reduction of the non-uniform illumination problem is required in order to get an accurate image binarization. This paper introduces the combination of the dark channel and the atmospheric scattering model along with the k-means segmentation to reduce the effects of non-uniform illumination conditions in image binarization. The results show the effectiveness and robustness of this approach.
Disciplinas: Ciencias de la computación
Palabras clave: Inteligencia artificial
Keyword: Non-uniform illumination,
Uneven illumination,
Dark channel,
Binarization,
Artificial intelligence
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