Paper Info
Title
An Efficient Descriptor Based on Radial Line Integration for Fast Non-invariant Matching and Registration of Microscopy Images.
Abstract
Descriptors such as SURF and SIFT contain a framework for handling rotation and scale invariance, which generally is not needed when registration and stitching of images in microscopy is the focus. Instead speed and efficiency are more important factors. We propose a descriptor that performs very well for these criteria, which is based on the idea of radial line integration. The result is a descriptor that outperforms both SURF and SIFT when it comes to speed and the number of inliers, even for rather short descriptors.
Year
DOI
Venue
2017
10.1007/978-3-319-70353-4_61
ADVANCED CONCEPTS FOR INTELLIGENT VISION SYSTEMS (ACIVS 2017)
Field
DocType
Volume
Computer vision,Scale-invariant feature transform,Image stitching,Scale invariance,Pattern recognition,Radial line,Computer science,Invariant (mathematics),Artificial intelligence,Microscopy
Conference
10617
ISSN
Citations 
PageRank 
0302-9743
0
0.34
References 
Authors
32
3
Name
Order
Citations
PageRank
Anders Hast132.12
Gustaf Kylberg2603.80
Ida-Maria Sintorn311413.85