6533b833fe1ef96bd129b836
RESEARCH PRODUCT
Combining fuzzy C-mean and normalized convolution for cloud detection in IR images
Domenico TegoloFrancesco IsgròA. Anzalonesubject
Infra-red imagePixelSettore INF/01 - InformaticaComputer sciencebusiness.industryFeature vectorFuzzy setComputer Science (all)ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONCloud computingFuzzy logicImage (mathematics)Theoretical Computer ScienceNormalized convolutionComputer Science::Computer Vision and Pattern RecognitionFuzzy setComputer visionCloudiness maskArtificial intelligenceCluster analysisbusinessAstrophysics::Galaxy Astrophysicsdescription
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. © 2009 Springer Berlin Heidelberg.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2009-01-01 |