图像数据库的智能检索

Intelligent Retrieval Method of Image Database

提出了以人工智能思想为指导的图像数据库的智能检索方法，它利用模式识别技术和图像处理技术，同时考虑启发性知识．该方法用图像特征向量代表图像并进行聚类分析以建立图像库的检索树，应用最佳优先搜索方法在检索树上找出用户满意的图像．重点探讨了如何利用专家的经验知识和通过样本训练得到启发评价函数，并推出了启发评价函数存在的条件．

Image Database (IDB) is a combination of the traditional database and the image processingtechniques. An intelligent retrieval method of image database, which is guided by artificial intelligence, is presented. Pattern recognition and image processing techniques, heuristic knowledge are all taken into consideration in this method. This method uses an image feature vector to represent an image and builds a retrieval treeof the image base through clustering to seek the optimal image with best-first search for users on it. How toobtain a heuristic evaluation function by using expert's experience and sample training is focused on. Theseconditions for the existence of evaluation fimction is presented as well.