Squared Gray Weighted Centroid Algorithm Based on Bi-cubic Interpolation

A squared gray weighted centroid algorithm based on bi-cubic interpolation is proposed to solve the question of the optical feature precision location in the vision measurement. The location method makes full use of the gray information of feature image and uses the squared gray as weight to increase the function of pixels with higher gray value. At the same time, the bi-cubic interpolation algorithm is used to increase the available pixels to improve the location accuracy. Experimental results show that the location repeatability was less than 0.011 pixels and the location errors were less than 0.01 pixels. The centroid location method has better location accuracy and could be used for the precision location of optical feature for the vision measurement.
vision measurement bi-cubic interpolation centroid algorithm optical feature
Liu Changying Gao Yinhan Zhang Yong
aCollege of Instrumentation & Electrical Engineering, Jilin University, Changchun, China 130061 Centre of Measurement Science Experiment, Jilin University, Changchun, China 130025 College of Instrumentation & Electrical Engineering, Jilin University, Changchun, China 130061
国际会议
第五届仪器科学与技术国际学术会议(ISIST 2008)Fifth International Symposium on Instrmentation Science and Technology
沈阳
英文
1-5
2008-09-15(万方平台首次上网日期,不代表论文的发表时间)