Automatic recognition of silhouttes from images acquired in uncontrolled lighting conditions

Authors

  • John Jairo Sanabria Sarmiento Universidad Industrial de Santander (UIS)
  • John Faber Archila Díaz Universidad Industrial de Santander (UIS)

DOI:

https://doi.org/10.15332/iteckne.v9i1.2751

Keywords:

Image denoising, Image enhancement, Image processing, Non-controlled illumination, Silhouettes

Abstract

The image acquisition process is not always realized in a controled environment, therefore it is affected by diverses variables and circumstances, being a necessity the involvement of protocols and measures to reduce the greater impacts. In the case of this investigation the objective is to obtain the silhouette of a person or group automatically whatever are the lighting conditions. A description of an experimental comparison of techniques designed to reduce the impact of lighting conditions during image acquisition to facilitate further analysis of the information contained therein.

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Author Biographies

John Jairo Sanabria Sarmiento, Universidad Industrial de Santander (UIS)

MSc.(c) en Ingeniería de Sistemas e Informática, Universidad Industrial de Santander. Miembro Grupo GIROD, Universidad Industrial de Santander UIS, Bucaramanga, Colombia

John Faber Archila Díaz, Universidad Industrial de Santander (UIS)

MSc. Engenharia Mecânica, Universidade Federal do Rio de Janeiro. Docente Tiempo Completo, Director Grupo GIROD, Universidad Industrial de Santander UIS, Bucaramanga, Colombia

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Published

2014-11-26

How to Cite

Sanabria Sarmiento, J. J., & Archila Díaz, J. F. (2014). Automatic recognition of silhouttes from images acquired in uncontrolled lighting conditions. ITECKNE, 9(1), 107–114. https://doi.org/10.15332/iteckne.v9i1.2751

Issue

Vol. 9 No. 1 (2012)

Section

Research and Innovation Articles

License

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