Optimal ellipse fitting method based on least-square principle

[1] Gander W,Golub G H, Strebel R, et al. Least-squares fitting of circles and ellipses[J]. BIT Numerical Mathematics, 1994,34(4):558-578 [2] Rosin P L. Ellipse fitting by accumulating five-point fits[J]. Pattern Recognition Letters,1993,14(8):661-669 [3] 钮毅.部分遮挡条件下椭圆目标识别 .上海:上海交通大学自动化学院,2007 Niu Yi. Detection of partially occluded elipses . Shanghai: School of Electronic,Information and Electrical Engineering, Shanghai Jiaotong University,2007(in Chinese) [4] Forbes A B. Least-squares best fit geometric elements Algorithms for Approximation II.London: Chapman and Hall,1990:311-319 [5] 曹芳.计算机视觉中的各点异性回归技术 .上海:上海海事大学信息工程学院,2004 Cao Fang. The heteroscedastic regression technology in computer vision . Shanghai: Information Engineering College, Shanghai Maritime University,2004(in Chinese) [6] 周磊.椭圆拟合方法及其应用于土星光环的边缘 .广州:暨南大学计算机学院,2006 Zhou Lei. Application of ellipse fitting methods to the edge of Saturn’s ring . Guangzhou: College of Information Science and Technology,Ji’nan University,2006(in Chinese) [7] 陈凯.双核细胞显微图像的自动分割与识别 .武汉:华中科技大学计算机科学与技术学院,2004 Chen Kai. The automatics segmentation and recognition of microscope image of binuclear cell . Wuhan: Computer Science and Technology, Huazhong University of Science and Technology,2004(in Chinese) [8] Fischler M A,Bolles R C.Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography[J].Communications of the ACM,1981,24(6):381-395