Fuzzy Logic and Applications

Volume 5571 of the series Lecture Notes in Computer Science pp 140-147

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

  • Anna AnzaloneAffiliated withINAF - Istituto di Astrofisica e Fisica Cosmica
  • , Francesco IsgròAffiliated withDipartimento di Scienze Fisiche, Università degli Studi di Napoli Federico II
  • , Domenico TegoloAffiliated withDipartimento di Matematica ed Applicazioni, Università di Palermo

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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.


Cloudiness mask fuzzy set infra-red images