Paper Info
Title
Pixel-ECC Based Laparoscopic Image Alignment In Presence of Large Untextured Regions
Abstract
The performance of most of the image alignment algorithms degrades in the presence of untextured and homogeneous image regions. Such large regions, and thus inappropriate for using them for alignment, appeared in most of the biological objects. In this paper the Pixel-ECC image alignment algorithm to laparoscopic surgery tailored to avoid this form of degradation is proposed. This is achieved by the use of the Frobenius norms of the Hessian matrices of the image pair for the dynamic detection of the problematic regions in each iteration of alignment algorithm. The proposed algorithm as well as other state of the art image alignment algorithms are used in a number of experiments based on artificial and real laparoscopic data, and the proposed algorithm seems to outperform its rivals.
Year
DOI
Venue
2017
10.1109/BIBE.2017.00-50
2017 IEEE 17th International Conference on Bioinformatics and Bioengineering (BIBE)
Keywords
Field
DocType
Laparoscopic Surgery,Video Alignment,Image Alignment,ECC,Pixel-ECC
Histogram,Computer vision,Image alignment,Biological objects,Computer science,Matrix (mathematics),Hessian matrix,Artificial intelligence,Pixel,Distortion,Detector,Machine learning
Conference
ISSN
ISBN
Citations 
2471-7819
978-1-5386-1325-2
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Nefeli Lamprinou101.69
Emmanouil Z. Psarakis24311.05