融合整体与分块颜色分布的图像检索方法

针对传统的颜色直方图无法反映色彩分布的空间信息这一缺陷，提出了一种以同一颜色构成的最大连通区域及其边缘颜色粗糙度的图像检索方法，并在此基础上将图像间的相似度定义为整体相似度与以图像分块为基础的局部相似度的加权和，以反映人们对图像相似度的判定过程。实验表明，该方法获得了图像颜色的空间分布，并可以根据图像的颜色空间分布是否集中来调整整体相似度的权值，以提高检索性能，同时弥补了颜色直方图无法反映颜色空间分布的不足，提高了检索的准确性。

Image retrieval method combining integer and blocks' color distribution

In order to overcome the defect that the conventional color histogram retrieval method is prone to lose the spatial information of colors, an image retrieval method based on the largest color-connected regions was presented, and its rim roughness to capture the regional traits and reduce the absolute dependence on color. Then the similarity of the images is defined as the combination of the similarity of an integer and the similarity of the blocks to reflect the recognition process by people. The experimental result on real-world image collections indicates that the proposed approach significantly improves image retrieval accuracy.