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《Journal of Jimei University(Natural Science)》 2008-03
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A Global Least Squares Based Method for Extracting Straight Lines

XIE Wei-bo1,WANG Yong-chu2,CAI Can-hui1(1.Institute of Information Science and Engineering,Huaqiao University,Quanzhou 362021,China;2.College of Mechanical Engineering and Automation,Huaqiao University,Quanzhou 362021,China)  
Based on global least squares fitting,an algorithm of extracting straight lines on the two-dimensional picture is proposed.Similar to curve fitting on the one-dimensional data,the difficulty has overcome that the function of two-dimensional picture is multi-valued(the y coordinate as the x coordinate),with the help of forked method;and it realizes the global description and extraction of the straight lines in the two-dimensional picture using the least squares algorithm.The experiment shows that this algorithm is effective.
【Fund】: 国家自然科学基金资助项目(60772164);; 福建省自然科学基金资助项目(A0540005)
【CateGory Index】: TP391.41
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