SKY DETECTION IN CSC-SEGMENTED COLOR IMAGES

Frank Schmitt, Lutz Priese

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.

References

  1. Ettinger, S. M., Nechyba, M. C., Ifju, P. G., and Waszak, M. (2002). Towards flight autonomy: Vision-based horizon detection for micro air vehicles. In Florida Conference on Recent Advances in Robotics 2002.
  2. Fefilatyev, S., Smarodzinava, V., Hall, L. O., and Goldgof, D. B. (2006). Horizon detection using machine learning techniques. In ICMLA 7806: Proceedings of the 5th International Conference on Machine Learning and Applications, pages 17-21, Washington, DC, USA. IEEE Computer Society.
  3. Gallagher, A. C., Luo, J., and Hao, W. (2004). Improved blue sky detection using polynomial model fit. In Image Processing, 2004. ICIP 7804. 2004 International Conference on, volume 4, pages 2367-2370.
  4. Horowitz, S. and Pavlidis, T. (1974). Picture segmentation by a directed split-and-merge procedure. In Proceedings of the Second International Joint Conference on Pattern Recognition, pages 424-433.
  5. Luo, J. and Etz, S. P. (2002). A physical model-based approach to detecting sky in photographicimages. IEEE Transactions on Image Processing, 11(3):201-212.
  6. M. Kuwahara, K. Hachimura, S. Eiho, and M. Kinoshita (1976). Processing of ri-angiocardiographic images. In Preston, K. and Onoe, M., editors, Digital Processing of Biomedical Images, pages 187-202.
  7. Rehrmann, V. (1994). Stabile, echtzeitfähige Farbbildauswertung. PhD thesis, Universität KoblenzLandau, F ölbach Verlag, Koblenz.
  8. Rehrmann, V. and Priese, L. (1998). Fast and robust segmentation of natural color scenes. In Chin, R. T. and Pong, T.-C., editors, 3rd Asian Conference on Computer Vision (ACCV'98), number 1351 in LNCS, pages 598-606. Springer Verlag.
  9. Schmitt, F. and Priese, L. (2008). Himmelsdetektion in CSC-segmentierten Farbbildern. In Farbworkshop 2008, Aachen.
  10. Zafarifar, B. and de With, P. H. N. (2006). Blue sky detection for picture quality enhancement. In Advanced Concepts for Intelligent Vision Systems, volume 4179/2006 of Lecture Notes in Computer Science, pages 522-532. Springer Berlin / Heidelberg. Figure 7: Erroneous CSC segmentation: A white building front merges into one segment with the heavily clouded sky.
Download


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