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Shadow detection and correction using a combined 3D GIS and image processing approach

Safa Ridene1 , Reda Yaagoubi1, Imane Sebari1, Audrey Alajouanine2

1. College of Geomatics and Surveying Engineering, Institut Agronomique et Vétérinaire Hassan II, Rabat, Morocco
2. GE-INFRA, Géomètre Expert, Toulouse
Reda.yaagoubi@iav.ac.ma; i.sebari@iav.ac.ma

Revue Internationale de Géomatique 2019, 29(3), 241-253. https://doi.org/10.3166/rig.2019.00091

Abstract

While shadow can give useful information about size and shape of objects, it can pose problems in feature detection and object detection, thereby, it represents one of the major perturbator phenomenons frequently occurring on images and unfortunately, it is inevitable. “Shadows may lead to the failure of image analysis processes and also cause a poor quality of information which in turn leads to problems in implementation of algorithms.” (Mahajan and Bajpayee, 2015). It also affects multiple image analysis applications, whereby shadow cast by buildings deteriorate the spectral values of the surfaces. Therefore, its presence causes a deterioration in the visual image’s quality and limits the information that the former could give. Ignoring the existence of shadows in images may cause serious problems in various visual processing applications such as false objects detection. In this context, many researches have been conducted through years. However, it is still a challenge for analysts all over the world to find a fully automated and efficient method for shadow removal from images.

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APA Style
Ridene , S., Yaagoubi, R., Sebari, I., Alajouanine, . (2019). Shadow detection and correction using a combined 3D GIS and image processing approach. Revue Internationale de Géomatique, 29(3), 241-253. https://doi.org/10.3166/rig.2019.00091
Vancouver Style
Ridene S, Yaagoubi R, Sebari I, Alajouanine . Shadow detection and correction using a combined 3D GIS and image processing approach. Revue Internationale de Gomatique . 2019;29(3):241-253 https://doi.org/10.3166/rig.2019.00091
IEEE Style
S. Ridene , R. Yaagoubi, I. Sebari, and . Alajouanine "Shadow detection and correction using a combined 3D GIS and image processing approach," Revue Internationale de Gomatique , vol. 29, no. 3, pp. 241-253. 2019. https://doi.org/10.3166/rig.2019.00091



cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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