基于改进HHO算法的螺纹钢丝头中径测量方法

针对现阶段基于图像处理进行螺纹中径测量时算法收敛速度慢、精度低的问题,提出一种基于改进哈里斯鹰优化算法的螺纹钢丝头中径测量方法.首先,采用三次样条插值法进行亚像素级的边缘检测,精确提取出螺纹波峰波谷等参数后再构建出中径适应度函数,最后,将螺旋式更新机制和非线性能量递减策略引入哈里斯鹰优化算法(HHO)来求解中径适应度函...

Pitch diameter measurement of threaded steel wire headbased on improved HHO algorithm

In order to solve the problems of slow convergence and low accuracy of the algorithm for thread pitch diameter measurementbased on image processing at this stage, we proposed a thread steel wire head pitch diameter measurement method based on improvedHarris hawk optimization algorithm. Firstly, the cubic spline interpolation method is used for sub-pixel edge detection, and theparameters such as the peak and valley of the thread are extracted accurately, then the pitch diameter fitness function is constructed.Finally, the spiral updating mechanism and nonlinear energy decreasing strategy are introduced into Harris hawk optimization algorithm(HHO) to solve the pitch diameter fitness function. The experimental results show that the improved Harris hawk optimization algorithmhas better stability and higher accuracy, in which the standard deviation of diameter measurement is 59. 33% lower than the traditionalHHO algorithm, the absolute mean error of pitch diameter measurement is 5. 08% lower than the three needle measurement method, and37. 78% lower than the HHO algorithm.