Sky Area Detection Algorithm for USV

A sky detection algorithm of multi-information fusion type is developed. The detection of sky area is accomplished by checking the edge information of image and the saturation and luminance distribution feature of image parts. The image signal is preprocessed with the variational method to remove the noise and detail texture in order to see the structure of image parts clearly. The processed image is segmentate according to the edge information by means of the visual image segmentation algorithm. The color distribution in the HSV color space in image sections is analyzed to pick up the sky area. Final sky detection is accomplished after further examining.