中文摘要：

我们由不均匀的堵住基于兴趣图象区域建议一个图象检索方法。一幅图象在某个规则上被分割进兴趣区域和背景区域。为兴趣图象区域，不平的块的颜色直方图作为颜色特征被提取。我们也收集平均数和作为背景图象的质地特征过滤背景块的结果的 Gabor 的变化价值。然后，图象能被综合检索图象颜色和质地特征。我们由为 Corel 图象数据库分析召回和精确指示物的结果测试我们的途径。建议方法有效地并且精确地执行的实验结果表演，它更有效检索远看法的图象，和没有检索的损失的在大约 10% 的完成的精确增加与一些另外的传统的搜索方法相比打电话。

英文摘要：

We propose an image retrieval method based on interest image region by asymmetrical blocking. An image is segmented into the interest region and background region on a certain rule. For the interest image regions, the color histogram of the uneven blocks is extracted as the color characteristic. We also collect the mean and variance value of the Gabor filtering results of background blocks as texture features of the background image. Then, the images can be retrieved by synthesizing the image color and texture features. We test our approaches by analyzing the resuits of recall and precision indicators for the Corel image database. The experiment results show that the proposed method performs effectively and accurately, which is more effective to retrieve the distant-view images, and the achieved precision increases by about 10% without loss of the retrieval call compared with some other traditional search methods.