分形技术图像比对搜索模型

传统的搜索引擎只能搜索文字型的资料，显然无法满足用户想通过搜索引擎来取得与图像相关的信息的需求．提出一种图像比对搜索引擎，利用分形图像处理和索引技术来建立图像特征数据库．当用户输入查询图像时，系统对于用户输入的图像也采用与分形图像处理相同的方式取得特征值，然后再与图像特征数据库的特征矢量作比对，达到数据搜索的目的．实验表明，图像比对搜索引擎除了可以找出用户输入的相似图像外，对于查询图像的旋转、模糊或噪声，图像比对搜索引擎也能够找出正确的图像，证明文中方法对图像的容错性和适应性好。

Model of Image Comparison and Searching Based on Fractal Technology

Traditional search engine can only search for text data and can not meet the demands of users to gain an image. A search engine of image comparison is presented to establish image feature database by a new approach of fractal image processing and indexing. When user inputs a query image, the search system adopts the same method to get the feature for the query image which is compared with the feature data of image database to realize the expected data searching. Besides, experiment shows that image comparison search engine can get images similar to the query one, it can get right feedback for query image with rotation, faintness, noise and so on. This method has been testified to be error-tolerant and effective.