博碩士論文 91323114 完整後設資料紀錄

DC 欄位	值	語言
DC.contributor	機械工程學系	zh_TW
DC.creator	陳章沂	zh_TW
DC.creator	Chang-Yi Chen	en_US
dc.date.accessioned	2004-7-7T07:39:07Z
dc.date.available	2004-7-7T07:39:07Z
dc.date.issued	2004
dc.identifier.uri	http://ir.lib.ncu.edu.tw:88/thesis/view_etd.asp?URN=91323114
dc.contributor.department	機械工程學系	zh_TW
DC.description	國立中央大學	zh_TW
DC.description	National Central University	en_US
dc.description.abstract	在本篇論文中將提出一個快速而強健的方法，來求取橢圓的中心座標、旋轉角、兩軸長，這五個參數。並建構一個新的影像擷取和影像處理平台，以用來實作本文所提出的演算法。 橢圓偵測的方法已經有許多人研究過且提出了很多方法，大多是利用全域幾何的特性，也有全域和局域的幾何特性兼用的。Hough Transform(以下簡稱為HT)也常被研究來偵測橢圓。 本文示出演算法的推導過程、對演算法的效果進行測試、提出演算法的可能應用方向和實作演算法對實物圖形進行橢圓偵測。 本文會簡介影像擷取平台的設計，從平台的特色、硬體架構到系統規劃，並秀出實際所取得的照片。	zh_TW
dc.description.abstract	This paper proposes a new formulism of least square problem that makes use of only five parameters to fit ellipses. These five parameters are one to one mapping of the five geometric characteristic parameters of ellipses. Therefore, traditional least square algorithms can be used to calculate the parameters without any modification. This new approach is the first ellipse identification approach that has definite computation time, so that it is available for real time applications. Furthermore, we also provide the procedure to transform the result parameters to the more informative geometric parameters, the center coordination, the length of two axes, and the inclined angle of the major axis. This innovatory approach in least square identification of ellipses is much more computationally efficient and can easily be implemented recursively.	en_US
DC.subject	橢圓參數鑑別	zh_TW
DC.subject	最小平方差法	zh_TW
DC.subject	least square	en_US
DC.subject	fitting	en_US
DC.subject	ellipse	en_US
DC.title	橢圓幾何參數鑑別之理論模擬及實作	zh_TW
dc.language.iso	zh-TW	zh-TW
DC.title	Direct Least Square Fitting of Five Parameters of Ellipse	en_US
DC.type	博碩士論文	zh_TW
DC.type	thesis	en_US
DC.publisher	National Central University	en_US