Image similarity generation using fuzzy logical operators and aggregation operators

近年来数码相机技术的发展使得图像数据量变得相当大。我们很难从庞大的图像数据库中对合适的图像数据进行分类和检索。为了提高传统图像检索技术的性能，我们提出了图像之间的相似度函数。利用提出的相似度函数构建了视觉关键图像检索系统，实验结果表明，检索图像的查准率和召回率都比传统系统有所提高。

Recent development of digital camera technology have made the amount of image data quite large. We are difficult to classify and retrieve appropriate image data from the large image database. We develop the similarity function among images in order to improve the performance of conventional image retrieval technology. We also constructed the visual key image retrieval system using proposed similarity function and the experimental result shows the precision and recall of the retrieved image improve than those of conventional system.