AUTOMATIC SHADOW DETECTION IN AERIAL AND TERRESTRIAL IMAGES

Autor: Vander L. S. Freitas, Antonio Maria Garcia Tommaselli, Barbara Maximino da Fonseca Reis
Rok vydání: 2017
Předmět:
Zdroj: Boletim de Ciências Geodésicas v.23 n.4 2017
Boletim de Ciências Geodésicas
Universidade Federal do Paraná (UFPR)
instacron:UFPR
Boletim de Ciências Geodésicas, Vol 23, Iss 4, Pp 578-590
ISSN: 1982-2170
1413-4853
DOI: 10.1590/s1982-21702017000400038
Popis: Shadows exist in almost all aerial and outdoor images, and they can be useful for estimating Sun position estimation or measuring object size. On the other hand, they represent a problem in processes such as object detection/recognition, image matching, etc., because they may be confused with dark objects and change the image radiometric properties. We address this problem on aerial and outdoor color images in this work. We use a filter to find low intensities as a first step. For outdoor color images, we analyze spectrum ratio properties to refine the detection, and the results are assessed with a dataset containing ground truth. For the aerial case we validate the detections depending of the hue component of pixels. This stage takes into account that, in deep shadows, most pixels have blue or violet wavelengths because of an atmospheric scattering effect.
Databáze: OpenAIRE