Dark Channel Applied for Reduction of the Effects of Non-uniform Illumination in Image Binarization

Authors

  • Sebastián Salazar Colores Universidad Autónoma de Queretaro, Facultad de Informática
  • Mariano Garduño Aparicio Universidad Autónoma de Querétaro, Facultad de Ingeniería
  • Eduardo Ulises Moya Sánchez Barcelona Supercomputing Center, High-Performance Computing Artificial Intelligence
  • Claudia Victoria Lopez Torres Universidad Autónoma de Queretaro, Facultad de Informática
  • Juan Manuel Ramos Arreguín Universidad Autónoma de Querétaro, Facultad de Ingeniería

DOI:

https://doi.org/10.13053/cys-23-2-3202

Keywords:

Non-uniform illumination, uneven illumination, dark channel, binarization

Abstract

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.

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Published

2019-06-27

Issue

Vol. 23 No. 2 (2019): Topic Trends in Computing Research (Guest Editors: A. Aguilar Meléndez, E. U. Moya Sánchez)

Section

Articles of the Thematic Issue

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