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頁籤選單縮合
題 名 | Feature-Based Image Capturing and Recognition by Using Active Contour Models=運用主動輪廓模型於特徵基礎影像擷取與辨識 |
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作 者 | 高誌鴻; 毛格民; 謝龍發; | 書刊名 | 中正嶺學報 |
卷 期 | 41:1(A) 2012.05[民101.05] |
頁 次 | 頁57-68 |
分類號 | 312.1 |
關鍵詞 | 特徵值; 傅立葉描述子; 船艦辨識; 梯度向量流; Eigenvalue; Fourier descriptor; Ship recognition; Gradient vector flow; |
語 文 | 英文(English) |
中文摘要 | 建立船艦辨識系統的目的,是為了研發出能在自然海域中有效之船艦擷取技術,配合已建立好之船艦影像特徵資料庫,開發出一套可靠並且能快速辨識的立體船艦辨識系統。在本論文中我們提出了一個應用於船艦辨識的系統。這個系統先使用動態梯度向量流來擷取船艦影像的輪廓,從船艦影像輪廓計算出其幾何特徵值和傅立葉描述子,分別使用這些特徵值進行粗比對和細比對。本系統使用Matlab軟體建立了一個圖形界面,使用者可以透過這個界面,以互動的方式來進行船艦的辨識。 |
英文摘要 | The purpose of establishing a ship recognition system is to research and develop effective ship contour capture in the natural sea environment. We can develop a ship recognition system that is reliable and fast based on a database of ship images. We propose a recognition algorithm for ship images. This system utilizes gradient vector flow to capture the ship image contour first and calculates the geometric eigenvalue using this contour and Fourier descriptor. The eigenvalues are used to perform separated rough and detailed recognition. A graphic user interface is developed and the validity of the proposed technique is demonstrated using identifying images. |
本系統中英文摘要資訊取自各篇刊載內容。