Jiménez-Sánchez Angélica R, Mendiola-Santibañez Jorge D, Terol-Villalobos Iván R, Herrera-Ruíz Gilberto, Vargas-Vázquez Damián, García-Escalante Juan J, Lara-Guevara Alberto
Universidad Autónoma de Querétaro, Cerro de las Campanas CP., Querétaro, México.
IEEE Trans Image Process. 2009 Mar;18(3):613-23. doi: 10.1109/TIP.2008.2010152.
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.
在本文中，一些形态变换被用于检测光照不佳特征的图像中的背景。最近，基于韦伯定律概念应用两个算子进行了对比度图像增强。第一个算子利用块分析的信息，而第二个变换利用通过重建的开运算，用于定义多背景概念。对比度算子的目的在于对输入图像的灰度级进行归一化，以避免不同区域之间强度的突然变化。最后，通过对具有不同背景的图像进行处理来说明所提出算子的性能，其中大多数图像具有较差的光照条件。
