%0 Conference Proceedings
%T Improving Edge Detection in RGB Images by Adding NIR Channel
%A Xavier Soria
%A Angel Sappa
%B 14th IEEE International Conference on Signal Image Technology & Internet Based System
%D 2018
%F Xavier Soria2018
%O MSIAU; 600.122
%O exported from refbase (http://refbase.cvc.uab.es/show.php?record=3192), last updated on Thu, 28 Mar 2019 10:31:30 +0100
%X The edge detection is yet a critical problem in many computer vision and image processing tasks. The manuscript presents an Holistically-Nested Edge Detection based approach to study the inclusion of Near-Infrared in the Visible spectrumimages. To do so, a Single Sensor based dataset has been acquired in the range of 400nm to 1100nm wavelength spectral band. Prominent results have been obtained even when the ground truth (annotated edge-map) is based in the visible wavelength spectrum.
%K Edge detection
%K Contour detection
%K VGG
%K CNN
%K RGB-NIR
%K Near infrared images
%U http://refbase.cvc.uab.es/files/SoS2018.pdf