基于曲率和熵矩阵特征的商标图像检索

针对二值商标图像的特点，提出了一种综合边界曲率特征和图像分块熵矩阵特征的检索算法。首先，根据微分几何中曲率的定义，计算图像形状边界上每一点的曲率，并统计得到曲率直方图作为边界特征。然后，在图像分块的基础上，计算每一分块子图像的信息熵，得到熵矩阵，求该矩阵的奇异值作为区域特征。最后，综合这两个特征进行检索。实验表明，边界和区域特征综合使用较之单一特征有着更好的检索效果，并具有较好的几何不变性。

Trademark image retrieval based on curvature and entropy-matrix feature

An image retrieval method based on curvature feature and entropy-matrix feature for binary trademark images was proposed.First,according to the definition of curvature in Differential Geometry,every curvature of the fringe point was computed,and curvature-histogram was obtained as boundary feature.Second,the image was parted into several blocks,and then entropy for every block was counted.The entropy-matrix consisted of these entropy of every block.Last,images were retrieved by the two features.Experimental...