A Novel Sky Region Detection Algorithm Based On Border Points

Abstract

Sky detection is an important problem in computer vision. Generally, the color and gradient of the pixel in sky border change greatly. So, sky in the scene can be detected by measuring the sky border points. In this paper, a new method for sky detection based on border points is proposed, where the border points in each column of image can be detected to complete complex sky region identification in image. Different to the existing sky detection methods, the proposed algorithm is efficient in detecting sky in scenes of complex structure, for example, sky which are separated by buildings or flags. Furthermore, the paper introduced the concept of sky border for the sky detection, which made the proposed scheme effective. The proposed method is able to handle even more complex sky conditions, including a cloudy sky and a sunny sky. Experimental results have proven that the effectiveness of this method.