计量学报Issue(4)：370-374,5.DOI:10.3969/j.issn.1000-1158.2015.04.08
基于多特征的成捆原木端面轮廓识别方法
Outline Extraction of Bundled Logs Cross Section Based on Multi-feature
摘要
Abstract
A model of outline eztraction of bundled logs cross section based upon pizel feature and edge structure is developed to improve bundled logs image processing. A support vector machine(SVM)is used to eztract the pizels of cross section of logs,and the least square method is applied to fit the circle of edge pizels. Finally,outlines of bundled logs are eztracted. The obtained results of ezperiment demonstrate the validity of the proposed method in the case of the cross section of logs is not the ideal smooth and the background is complez.关键词
计量学/原木端面图像/轮廓识别/检尺自动化/支持向量机Key words
Metrology/Image of cross section of bundled logs/Outline eztraction/Scaling automation/Support vector machine分类
通用工业技术引用本文复制引用
景林,林耀海,黄习培..基于多特征的成捆原木端面轮廓识别方法[J].计量学报,2015,(4):370-374,5.基金项目
福建省自然科学基金(2014J01073),福建省教育厅科技项目基金(JA12103),国家自然科学青年科学基金(31300473) （2014J01073）
