Title
Evaluation of the uncertainty of geometrical features extracted from images: a proposal
Abstract
The paper deals with the expression of the uncertainty on edge localization in image analysis applications. A method for the evaluation of an interval in which the actual edge falls with a specific confidence level for each identified edge is proposed and validated with reference to synthesized and real images.
Year
DOI
Venue
2005
10.1109/VECIMS.2005.1567569
VECIMS
Keywords
Field
DocType
edge detection,image processing,edge localization,feature extraction,geometrical features,image analysis
Computer vision,Pattern recognition,Computer science,Edge detection,Image processing,Measurement uncertainty,Digital image,Feature extraction,Artificial intelligence,Real image,Software measurement
Conference
ISBN
Citations 
PageRank 
0-7803-9041-5
1
0.40
References 
Authors
7
3
Name
Order
Citations
PageRank
Rosario Anchini1233.70
Consolatina Liguori215032.06
Alfredo Paolillo38314.74