LLS-based consecutive line segments detection approach
A new linear least squares based consecutive line segments detection approach is proposed. Sub line segments are detected by traditional approach, and 3 aspects of traditional idea are improved. First, a new mergence rule based on linear least squares is proposed to improve traditional approach for some of the cases to be detected. Second, mergence confidence degree is defined to tell sub line segment to merge with whether it’s left neighbor or right neighbor. Third, a simplified way for reducing computation error approach is utilized to satisfy the requirement of both accuracy and rate for some of the cases to be detected. The presented approach is applied to detect consecutive line segments on images taken from injection molding parts time on line, satisfactory effect is received.
Linear least squares line segments detection line segments mergence rule line segments mergence rationality
Yang Liu Fu-li Wang Yu-qing Chang Da-kuo He
School of Information Science and Engineering, Northeastern University, Shenyang, 110004
国际会议
The 22nd China Control and Decision Conference(2010年中国控制与决策会议)
徐州
英文
4351-4354
2010-05-26（万方平台首次上网日期，不代表论文的发表时间）