DocumentCode :
1652009
Title :
Preliminary results on sky segmentation
Author :
Nafornita, Corina ; David, Ciprian ; Isar, Alexandru
Author_Institution :
Commun. Dept., Politeh. Univ. Timisoara, Timisoara, Romania
fYear :
2015
Firstpage :
1
Lastpage :
4
Abstract :
The goal of this paper is to classify an image into two regions: sky and non-sky. We discuss here the possibility to use a non-linear simplifying filter that operates on high frequencies of the color image, more specifically on the Blue channel, and next to use a k-means classifier with two clusters to perform the sky segmentation.
Keywords :
image classification; image colour analysis; image segmentation; nonlinear filters; Blue channel; color image; image classification; k-means classifier; nonlinear simplifying filter; sky segmentation; Buildings; Cameras; Estimation; Image reconstruction; Image segmentation; Noise reduction; Wavelet transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signals, Circuits and Systems (ISSCS), 2015 International Symposium on
Conference_Location :
Iasi
Print_ISBN :
978-1-4673-7487-3
Type :
conf
DOI :
10.1109/ISSCS.2015.7203933
Filename :
7203933
Link To Document :
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