Title
Research on Parts Measurement Method Based on Machine Vision
Abstract
This paper has described the measurement method of the phone slot on the assembly line. The method is based on computer vision. After reducing the effect of noise through fast median method, the authors locate the target area. Thus the authors extract the target area. The authors have proposed an edge detection algorithm based on the improved canny operator. The authors also have put forward the linear fitting method based on RHT-LSM and then the authors delete the straight line whose slope is greater than the given threshold. Therefore the authors can find the corresponding angular point coordinates. Then the authors have compared the semi-circular data of the slots ends and find the points whose tangent line's slop are biggest. These points are absolutely tin the leftmost and in the rightmost. Thus the authors have got the length and the width of the image in the coordinate system. Then the authors can get the camera's internal parameters and external parameters after the camera calibration. The practice shows that the system is feasible and it has high use value.
Year
DOI
Venue
2013
10.4018/ijapuc.2013070104
IJAPUC
Keywords
Field
DocType
tangent line,fast median method,computer vision,measurement method,target area,parts measurement method,camera calibration,straight line,machine vision,corresponding angular point,linear fitting method,assembly line
Coordinate system,Computer vision,Line (geometry),Machine vision,Computer science,Edge detection,Image processing,Tangent,Camera resectioning,Operator (computer programming),Artificial intelligence
Journal
Volume
Issue
Citations 
5
3
0
PageRank 
References 
Authors
0.34
4
3
Name
Order
Citations
PageRank
Jun Zhang1406.65
Shuhua Wang200.68
Zhengling Yang301.01