DocumentCode :
3752156
Title :
An efficient sky detection algorithm based on hybrid probability model
Author :
Chi-Wei Wang;Jian-Jiun Ding;Po-Jen Chen
Author_Institution :
Graduate Institute of Communication Engineering, National Taiwan University
fYear :
2015
Firstpage :
919
Lastpage :
922
Abstract :
Sky is one of the most significant subject matter commonly seen in outdoor photos. We propose a highly efficient sky detection algorithm. First, we detect a rough sky-ground boundary. Then, we calculate the parameters related to appearance of sky. Finally, we use these parameters to construct a hybrid probability model that indicates how possible a pixel belongs to sky. Moreover, an image processing library with parallel processing techniques is embedded in the proposed algorithm. The proposed algorithm has both high accuracy and high efficiency and can process a video image in real time. If the input is a VGA size image, the computation time of the proposed algorithm is less than 35ms when using a common desktop.
Keywords :
"Image color analysis","Algorithm design and analysis","Standards","Databases","Covariance matrices","Computational modeling"
Publisher :
ieee
Conference_Titel :
Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2015 Asia-Pacific
Type :
conf
DOI :
10.1109/APSIPA.2015.7415405
Filename :
7415405
Link To Document :
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