东南大学学报（英文版）2007，Vol.23Issue(4)：550-555,6.
基于特征的大尺寸零件序列局部视觉测量方法
Feature-based sequential partial vision measurement method for large scale machine parts
张志胜 1何博侠 1戴敏 1史金飞1
作者信息
- 1. 东南大学机械工程学院,南京,211189
- 折叠
摘要
Abstract
To realize the high-precision vision measurement for large scale machine parts, a new vision measurement method based on dimension features of sequential partial images is proposed. Instead of mosaicking the partial images, extracting the dimension features of the sequential partial images and deriving the part size according to the relationships between the sequential images is a novel method to realize the highprecision and fast measurement of machine parts. To overcome the corresponding problems arising from the relative rotation between two sequential partial images, a rectifying method based on texture features is put forward to effectively improve the processing speed. Finally, a case study is provided to demonstrate the analysis procedure and the effectiveness of the proposed method. The experiments show that the relative error is less than 0.012% using the sequential image measurement method to gauge large scale straight-edge parts. The measurement precision meets the needs of precise measurement for sheet metal parts.关键词
视觉测量/序列图像/表面纹理/特征匹配Key words
vision measurement/sequential image/texture feature/feature matching分类
信息技术与安全科学引用本文复制引用
张志胜,何博侠,戴敏,史金飞..基于特征的大尺寸零件序列局部视觉测量方法[J].东南大学学报（英文版）,2007,23(4):550-555,6.
