隨著科技的進步以及電腦運算能力的一日千里，以圖像內容為基礎以支援圖像檢索的方式為一項新發展的領域，並且應用非常多元，然而，在影像檢索的領域，尚未有統一且具代表性的特徵可作為影像檢索時之參照。本研究係著重於發展一套檢索內容針對人類易於辨識的地標圖像檢索系統，而我們的觀察發現，透過適當的天際線萃取技術、突出物件的偵測方法、以及相似度比對，可發展出一具備高可行性與可用性的地標圖像檢索系統，在理論的分析探討之外，本研究中的實驗結果也顯示出我們所提的方法可適用於實際應用中。

With the rapid development of computing techniques, context-awareness can be introduced as a means of supporting content-based image retrieval in various applications. In this work, we focus on developing an image retrieval system for images containing landmarks which are easily recognizable by human users. Our observations show that through the use of proper techniques for skyline extraction, identification of salient regions, and similarity matching, high feasibility and usability can be achieved for the retrieval task of landmark images. In addition to theoretical analysis of relevant issues, empirical studies show that our approach is advantageous to be utilized in practical applications.

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