计算机工程与应用2012，Vol.48Issue(2)：177-178,210,3.DOI:10.3778/j.issn.1002-8331.2012.02.050
基于非线性最小二乘原理的原木端面识别算法
Algorithm of log end recognition based on non-linear least squares principle
摘要
Abstract
In order to recognize log end effectively, an ellipse fitting algorithm based on non-linear least squares principle is studied. The accuracy of ellipse fitting is largely affected by the initial value. This method calculates the distance of the target image's boundary points to obtain the appropriate initial value. The smallest Euclidean distance between the boundary points and fitting ellipse is caculat-ed by using least squares principle, thus the best fitting ellipse parameters of major axis and minor axis are gotten. The results show that the proposed algorithm has good fitting accuracy and applicability for recognizing log end.关键词
非线性最小二乘/椭圆拟合/原木检尺/欧式距离Key words
non-linear least squares/ ellipse fitting/ log scaling/ Euclidean distance分类
信息技术与安全科学引用本文复制引用
梅振荣,任洪娥,朱朦..基于非线性最小二乘原理的原木端面识别算法[J].计算机工程与应用,2012,48(2):177-178,210,3.基金项目
国家林业局"948"项目(No.2010-4-05) （No.2010-4-05）
东北林业大学研究生科技创新项目. （）
