Title
Ranking Orientation Responses of Path Operators: Motivations, Choices and Algorithmics.
Abstract
A new morphological operator, namely RORPO (Ranking Orientation Responses of Path Operators), was recently introduced as a semi-global, morphological alternative to the local, Hessian-based operators for thin structure filtering in 3D images. In this context, a previous study has already provided experimental proof of its relevance by comparison to such differential operators. In this article, we present a methodological study of RORPO, which completes the presentation of this new morphological filter. In particular, we expose the motivations of RORPO with respect to previous morphological strategies; we present algorithmic developments of this filter and the underlying robust path operator; and we discuss computational issues related to parametricity and time efficiency. We conclude this study by a discussion on the methodological and applicative potentiality of RORPO in various fields of image processing and analysis.
Year
DOI
Venue
2015
10.1007/978-3-319-18720-4_53
Lecture Notes in Computer Science
Keywords
Field
DocType
Antiextensive filtering,Robust path openings,Thin structure detection,3D grey-level imaging,Vesselness
Algorithmics,Ranking,Computer science,Parallel computing,Hessian matrix,Filter (signal processing),Image processing,Theoretical computer science,Differential operator,Operator (computer programming),Artificial intelligence,Parametricity
Conference
Volume
ISSN
Citations 
9082
0302-9743
4
PageRank 
References 
Authors
0.40
23
4
Name
Order
Citations
PageRank
Odyssée Merveille1193.00
Hugues Talbot287180.69
Laurent Najman32365172.20
Nicolas Passat446946.22