Shadow detection algorithm based on color and regional gradient direction features
Xie Wenhu · Journal of Central South University(Science and Technology) · 2013
As single features such as color or texture can not be used to detect moving shadow effectively, a method of shadow detection based on color and regional texture was proposed. Through analyzing and proving the illumination invariance of regional gradient direction was proved, and a new texture-based method of shadow detection using this feature was proposed, by this way, the noise effect when using one pixel as the smallest detecting unit in traditional methods can be significantly reduced. Then, in the combination of color and regional texture, the color information or the regional gradient direction histogram was used respectively to detect moving shadow according to the complexity of texture in different image areas. The results show that the proposed algorithm is effective in detecting shadow under different scenes, meanwhile, it has characteristics of low computational complexity and excellent real-time ability.