摘要
针对机械工业产品轮廓中对称约束特征,该文提出了基于特征匹配的二维图像对称轮廓自动识别方法。基于轮廓点云数据分割和型值点方法提取特征点,研究轴对称和旋转对称图像特征点的不同分布规律,判别对称类型;采用转动惯量法和周期法求取对称轮廓特征描述参数作为轮廓整体约束优化求解参数;实例表明:文中方法能够有效地自动识别对称轮廓及其类型,提取出对称约束特征。
By considering the symmetry restriction characteristics in machinery industrial product profiles,a method of two-dimensional symmetric contour auto-identification based on feature matching is presented in this paper.Firstly,the feature points are extracted based on profile cloud point data partition and by using offset method,the different distribution rules of axial symmetric and rotational symmetric images for judging the type of symmetry was studied.The symmetric profile feature description parameter was calculated by adopting rotational inertia method and periodic method,which is regarded as the parameters for solving the profile overall constraint optimization.Examples show that method in this paper can effectively identify the symmetric profiles and their types,and extract the symmetric constraint features.
出处
《机械设计》
CSCD
北大核心
2011年第3期19-22,共4页
Journal of Machine Design
基金
四川省科技支撑资助项目(2009GZ0007)
关键词
反求工程
ICT图像
特征匹配
对称轮廓
自动识别
reverse engineering
ICT image
feature matching
symmetric profile
automatic recognition
