SKY DETECTION IN CSC-SEGMENTED COLOR IMAGES

Frank Schmitt, Lutz Priese

2009

Abstract

We present a novel algorithm for detection of sky areas in outdoor color images. In contrast to sky detectors in literature that detect only blue, cloudless sky we intend to detect all sorts of sky, i.e. blue, clouded and partially clouded sky. Our approach is based on the analysis of color, position, and shape properties of color homogeneous spatially connected regions detected by the CSC. An evaluation on a set of images acquired under different weather conditions proves the quality of the proposed system.

Paper Citation

in Harvard Style

Schmitt F. and Priese L. (2009). SKY DETECTION IN CSC-SEGMENTED COLOR IMAGES . In Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2009) ISBN 978-989-8111-69-2, pages 101-106. DOI: 10.5220/0001560601010106

in Bibtex Style

@conference{visapp09,
author={Frank Schmitt and Lutz Priese},
title={SKY DETECTION IN CSC-SEGMENTED COLOR IMAGES},
booktitle={Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2009)},
year={2009},
pages={101-106},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001560601010106},
isbn={978-989-8111-69-2},
}

in EndNote Style

TY - CONF
JO - Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2009)
TI - SKY DETECTION IN CSC-SEGMENTED COLOR IMAGES
SN - 978-989-8111-69-2
AU - Schmitt F.
AU - Priese L.
PY - 2009
SP - 101
EP - 106
DO - 10.5220/0001560601010106