@InProceedings{RománLegaNogu:2017:ToTrEn,
               author = "Rom{\'a}n, Julio C{\'e}sar Mello and Legal-Ayala, Horacio and 
                         Noguera, Jos{\'e} Luis V{\'a}zquez",
          affiliation = "{Universidad Nacional de Asunci{\'o}n - Facultad 
                         Polit{\'e}cnica} and {Universidad Nacional de Asunci{\'o}n - 
                         Facultad Polit{\'e}cnica} and {Universidad Nacional de 
                         Asunci{\'o}n - Facultad Polit{\'e}cnica}",
                title = "Top-Hat transform for enhancement of aerial thermal images",
            booktitle = "Proceedings...",
                 year = "2017",
               editor = "Torchelsen, Rafael Piccin and Nascimento, Erickson Rangel do and 
                         Panozzo, Daniele and Liu, Zicheng and Farias, Myl{\`e}ne and 
                         Viera, Thales and Sacht, Leonardo and Ferreira, Nivan and Comba, 
                         Jo{\~a}o Luiz Dihl and Hirata, Nina and Schiavon Porto, Marcelo 
                         and Vital, Creto and Pagot, Christian Azambuja and Petronetto, 
                         Fabiano and Clua, Esteban and Cardeal, Fl{\'a}vio",
         organization = "Conference on Graphics, Patterns and Images, 30. (SIBGRAPI)",
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
             keywords = "thermal image, contrast enhancement, top-hat transform, 
                         mathematical morphology.",
             abstract = "A thermal image is obtained by a camera that is sensitive to the 
                         thermal variation of the environment. This sensitivity in most 
                         cases affects the quality of the image obtained. Therefore, it is 
                         very important to improve the quality of thermal images in terms 
                         of contrast and details. There are different contrast enhancement 
                         techniques which introduce minor distortions, preserving the 
                         proper brightness as well as the details of the image. This work 
                         presents a top-hat transform for the improvement of grayscale 
                         aerial thermal images. The proposed method is based in the use of 
                         increasing structuring elements of similar geometry within the 
                         fundamental operations of mathematical morphology. The evaluation 
                         of the performance of the current proposed method was made with 
                         several metrics for images in grayscale. The experimental results 
                         show that the proposed method improves several thermal images 
                         which were tested, enhancing the contrast, preserving the richness 
                         of the details as well as the mean brightness and introducing less 
                         distortion in the images. The results show better aerial thermal 
                         images with less distortion and adequate brightness, which is very 
                         useful for further processes over the images.",
  conference-location = "Niter{\'o}i, RJ, Brazil",
      conference-year = "17-20 Oct. 2017",
                  doi = "10.1109/SIBGRAPI.2017.43",
                  url = "http://dx.doi.org/10.1109/SIBGRAPI.2017.43",
             language = "en",
                  ibi = "8JMKD3MGPAW/3PFS3JL",
                  url = "http://urlib.net/ibi/8JMKD3MGPAW/3PFS3JL",
           targetfile = "47.pdf",
        urlaccessdate = "2024, May 02"
}