title: Morphological background detection and enhancement of images with poor lighting.
abstract: In this paper, some morphological transformations are used to detect the background in images characterized by poor lighting. Lately, contrast image enhancement has been carried out by the application of two operators based on the Weber's law notion. The first operator employs information from block analysis, while the second transformation utilizes the opening by reconstruction, which is employed to define the multibackground notion. The objective of contrast operators consists in normalizing the grey level of the input image with the purpose of avoiding abrupt changes in intensity among the different regions. Finally, the performance of the proposed operators is illustrated through the processing of images with different backgrounds, the majority of them with poor lighting conditions.
authors.affiliation: Universidad Autónoma de Querétaro, Cerro de las Campanas CP., Querétaro, México. rosariojs@uaq.mx
authors.forename: Angélica R
authors.initials: AR
authors.lastname: Jiménez-Sánchez
authors.forename: Jorge D
authors.initials: JD
authors.lastname: Mendiola-Santibañez
authors.forename: Iván R
authors.initials: IR
authors.lastname: Terol-Villalobos
authors.forename: Gilberto
authors.initials: G
authors.lastname: Herrera-Ruíz
authors.forename: Damián
authors.initials: D
authors.lastname: Vargas-Vázquez
authors.forename: Juan J
authors.initials: JJ
authors.lastname: García-Escalante
authors.forename: Alberto
authors.initials: A
authors.lastname: Lara-Guevara
mesh_terms: D000465:Algorithms; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D008029:Lighting / Q000379:methods*; D010781:Photography / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity