Combining Fuzzy C-Mean and Normalized Convolution for Cloud Detection in IR Images

  • Anna Anzalone
  • Francesco Isgrò
  • Domenico Tegolo
Conference paper

DOI: 10.1007/978-3-642-02282-1_18

Part of the Lecture Notes in Computer Science book series (LNCS, volume 5571)
Cite this paper as:
Anzalone A., Isgrò F., Tegolo D. (2009) Combining Fuzzy C-Mean and Normalized Convolution for Cloud Detection in IR Images. In: Di Gesù V., Pal S.K., Petrosino A. (eds) Fuzzy Logic and Applications. WILF 2009. Lecture Notes in Computer Science, vol 5571. Springer, Berlin, Heidelberg

Abstract

An important task for the cloud monitoring in several frameworks is providing maps of the cloud coverage. In this paper we present a method to detect cloudy pixels for images taken from ground by an infra-red camera. The method is a three-steps algorithm mainly based on a Fuzzy C-Mean clustering, that works on a feature space derived from the original image and the output of the reconstructed image obtained via normalized convolution. Experiments, run on several infra-red images acquired under different conditions, show that the cloud maps returned are satisfactory.

Keywords

Cloudiness mask fuzzy set infra-red images 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Anna Anzalone
    • 1
  • Francesco Isgrò
    • 2
  • Domenico Tegolo
    • 3
  1. 1.INAF - Istituto di Astrofisica e Fisica CosmicaPalermoItaly
  2. 2.Dipartimento di Scienze FisicheUniversità degli Studi di Napoli Federico IINapoliItaly
  3. 3.Dipartimento di Matematica ed ApplicazioniUniversità di PalermoPalermoItaly

Personalised recommendations