Color binary correlation descriptor for image retrieval
Jun Wu, Shenglan Liu, Lin Feng · 2016
In this paper, a novel image descriptor, called Color Binary Correlation (CBC), is proposed for image retrieval. This method defines and describes the structure elements utilizing binary patterns based on colors and edge orientation respectively, and thus integrate texture with the other two properties. Besides, its variants CBCriand CBCu2, which are presented for rotated invariance and “unform” patterns respectively, are presented and analyzed for image retrieval. The experimental results in Corel-1K and Corel-10K datasets demonstrate that our descriptors are more robust and discriminative than other methods and CBC shows better performance than CBCriand CBCu2because of taking more possible patterns into consideration.