由于传统的基于颜色的图象检索都是基于颜色直方图的检索,其很难将颜色信息和其他信息结合起来,因此,降低了图象检索的准确度.为了提高图象检索的准确度,提出了一种基于颜色聚类表的图象检索方法,该方法首先定义颜色聚类表,并对图象进行颜色聚类;然后利用聚类后的颜色信息构造聚类表,并利用聚类表作为特征来对图象进行检索,同时给出颜色聚类表的获取方法;最后,利用该方法进行了仿真实验.实验结果表明,利用颜色聚类表,根据图象的聚类结果来实现检索,可以很方便地将颜色信息与其他信息结合起来.

The traditional color-based image retrieval method is based on color-histogram method, which makes combine the color information with other information difficultly. To resolve this problem, a new method using the color cluster table is presented in this paper. A new method using the color cluster table is presented in this paper. First, cluster the image, then construct cluster table using the clustering information, at last, realize the image retrieval by this table. Here, definition of the cluster table is presented, and the method to achieve is discussed. Then based on this definition, a new color-based image retrieval method is put forward. With this method, the retrieval can be realized by cluster result, making it convenient to combine the color information with other information. In order to prove the efficiency of the method, it is applied to the automated warehouse field to realize the recognition of the material. And the results compared with those achieved by the traditional color-histogram method, which shows that satisfying results can be achieved by this method.