Paper Info
Title
Line-edge extraction based on E-spline acquisition model and a fast optimization algorithm
Abstract
We propose a line-edge extraction algorithm that uses an E-spline data acquisition model and a fast optimization algorithm. The proposed method can retrieve line-edge parameters, including orientation, offset, and amplitude at sub-pixel accuracy almost independently of the resolution of the images. Because of the optimization approach, the proposed method is robust against model mismatch such as noise, point spread function (PSF) model mismatch, or step line-edge assumption. These properties are verified by simulations using images taken with a digital SLR camera.
Year
DOI
Venue
2012
10.1109/ICIP.2012.6466802
Image Processing
Keywords
Field
DocType
cameras,data acquisition,feature extraction,image resolution,image retrieval,optimisation,splines (mathematics),PSF model mismatch,amplitude parameter,digital SLR camera,e-spline data acquisition model,fast optimization algorithm,image resolution,line-edge extraction,line-edge parameter retrieval,noise,offset parameter,orientation parameter,point spread function,E-spline,Edge detection,Hough transform,line-edge,optimization
Spline (mathematics),Computer vision,Pattern recognition,Computer science,Data acquisition,Image retrieval,Feature extraction,Artificial intelligence,Point spread function,Amplitude,Image resolution,Offset (computer science)
Conference
ISSN
ISBN
Citations 
1522-4880 E-ISBN : 978-1-4673-2532-5
978-1-4673-2532-5
0
PageRank 
References 
Authors
0.34
5
2
Name
Order
Citations
PageRank
Akira Hirabayashi11615.38
Dragotti, P.L.251239.29