DocumentCode
3298949
Title
Research on Product Optical Image Position Distribution in Machine Vision System Based on Mathematical Statistics
Author
Ma, Ruiping
Author_Institution
Sch. of Art & Commun., Xi´´an Technol. Univ., Xi´´an, China
fYear
2012
fDate
July 31 2012-Aug. 2 2012
Firstpage
695
Lastpage
698
Abstract
Aim to industrial product parameter´s measurement and dependability analysis, the technology of machine vision and mathematical statistics were applied to verify and analyze product optical image central deviating from optical axis position distribution, the center of product image deviating from optical axis would bring great measure error. To reduce those errors, this paper proposes a method of hypothesis testing to analyze the position distribution about center of product optical image deviating from optical axis. According to the optical image calculation processing arithmetic, the performance of optical system and its affect on product´s parameter measurement was studied. The position distribution about the center of product image optical central deviating from optical axis is tested by normal distribution, Raleigh distribution and exponential distribution. The results show that exponential distribution is relatively reasonable.
Keywords
CAD; computer vision; exponential distribution; normal distribution; product design; production engineering computing; CAD; Raleigh distribution; exponential distribution; industrial design; industrial product parameter dependability analysis; industrial product parameter measurement; machine vision system; mathematical statistics; normal distribution; optical axis; product design; product optical image central analysis; product optical image central verification; product optical image position distribution; Adaptive optics; Exponential distribution; Machine vision; Optical design; Optical imaging; Optical variables measurement; Visualization; CAD; industrial design; machine vision; product design;
fLanguage
English
Publisher
ieee
Conference_Titel
Digital Manufacturing and Automation (ICDMA), 2012 Third International Conference on
Conference_Location
GuiLin
Print_ISBN
978-1-4673-2217-1
Type
conf
DOI
10.1109/ICDMA.2012.164
Filename
6298612
Link To Document