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圖像數據庫的智能檢索

Intelligent Retrieval Method of Image Database

  • 摘要: 提出了以人工智能思想為指導的圖像數據庫的智能檢索方法,它利用模式識別技術和圖像處理技術,同時考慮啟發性知識.該方法用圖像特征向量代表圖像并進行聚類分析以建立圖像庫的檢索樹,應用最佳優先搜索方法在檢索樹上找出用戶滿意的圖像.重點探討了如何利用專家的經驗知識和通過樣本訓練得到啟發評價函數,并推出了啟發評價函數存在的條件.

     

    Abstract: Image Database (IDB) is a combination of the traditional database and the image processing techniques. 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 tree of the image base through clustering to seek the optimal image with best-first search for users on it. How to obtain a heuristic evaluation function by using expert's experience and sample training is focused on. These conditions for the existence of evaluation function is presented as well.

     

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