High-accurate Ellipse Feature Extraction Algorithm Based on Line Diffusion Function Model
Ellipse feature is widely accepted as one of the most fundamental features and its extraction in image has very important significance in many fields.We addressed the problem of extraction of ellipse with high accuracy in this paper.An ellipse extraction algorithm based on line diffusion function model has been proposed using local gray value variation to precisely identify edge location.This algorithm can automatically extract ellipse and carry through high-accurate ellipse localization.This paper firstly analyzed the primary principle of line diffusion function mode,then described the implementation of high-accurate ellipse feature extraction algorithm based on line diffusion function model.During the process,the mathematical model is provided and high-accurate ellipse feature extraction algorithm has been developed.Finally,the proposed approach is tested with real imagery and experimental results are presented to demonstrate the efficiency and accuracy of the proposed algorithm.
Line Diffusion Function Model high-accurate ellipse extraction fitting least-square
Shunyi Zheng Cailin Li
School of Remote Sensing and Information Engineering,Wuhan University,Wuhan City,430079,P.R.China
国际会议
第16届国际地理信息科学与技术大会(16th International Conference on GeoInformatics and the Joint Conference)
广州
英文
2008-06-28（万方平台首次上网日期，不代表论文的发表时间）