Paper Info
Title
Subpixel edge detection for dimensional control by artificial vision
Abstract
Dimensional control by artificial vision is becoming a standard tool for industrialists interested in such remote and without contact measurement methods. The expected accuracy of those systems is dependent on camera resolution. High precision requires very costly charge coupling device sensors and frame grabbers. The proposed method tends to increase significantly the precision of dimensional measurements without increasing the hardware complexity. This algorithm is also quite robust against noisy images as it can be encountered in real world imaging; a precision of 1/16 pixel can easily be obtained with signal to noise ratio=2 dB. Our approach aims at improving the edge detection process involved in dimensional control by artificial vision. A lot of edge detection techniques with pixel resolution are well known and some or them are designed in order to be robust against image corruption. On the other hand B-spline interpolation methods have been considerably improved and popularized by the signal processing techniques proposed by M. Unser et al. An algorithm resulting from the merging of these two ideas is proposed in this paper. In this algorithm, the interpolation is prepared by an optimized filtering and by a detection of local maxima of gradient. (C) 2001 SPIE and IS&T.
Year
DOI
Venue
2001
10.1117/1.1316089
JOURNAL OF ELECTRONIC IMAGING
Keywords
Field
DocType
machine vision,edge detection,computer hardware,pixel resolution,dimensional metrology,signal processing,sensors
Computer vision,Machine vision,Edge detection,Computer science,Interpolation,Filter (signal processing),Artificial intelligence,Pixel,Subpixel rendering,Frame grabber,Image resolution
Journal
Volume
Issue
ISSN
10
1
1017-9909
Citations 
PageRank 
References 
6
0.48
8
Authors
3
Name
Order
Citations
PageRank
Frédéric Truchetet112118.97
Frédéric Nicolier2595.37
Olivier Laligant33810.66