Ranking orientation responses of path operators: Motivations, choices and algorithmics

• Main Authors: Merveille, Odyssée, Talbot, Hugues, Najman, Laurent, Passat, Nicolas
• Other Authors: Laboratoire d'Informatique Gaspard-Monge (LIGM), Université Paris-Est Marne-la-Vallée (UPEM)-École des Ponts ParisTech (ENPC)-ESIEE Paris-Fédération de Recherche Bézout (BEZOUT), Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), Centre de Recherche en Sciences et Technologies de l'Information et de la Communication - EA 3804 (CRESTIC), Université de Reims Champagne-Ardenne (URCA), ANR-10-BLAN-0205,KIDICO,Intégration des connaissances pour la convolution discrète, la segmentation et la reconstruction d'informations dans les images digitales(2010), ANR-12-MONU-0010,VIVABRAIN,Simulation d'angiographies virtuelles à partir de modèles vasculaires 3D et 3D+t(2012), ANR-10-LABX-0058,Bézout,Models and algorithms: from the discrete to the continuous(2010)
• Format: Conference Object
• Language: English
• Published: HAL CCSD 2015
• Subjects: thin structure detection; robust path openings; antiextensive filtering; vesselness; 3D grey-level imaging; [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]; [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]; Iceland
• Online Access: https://hal.science/hal-01168732; https://hal.science/hal-01168732/document; https://hal.science/hal-01168732/file/ISMM_08_Camera_ready.pdf; https://doi.org/10.1007/978-3-319-18720-4_53

International audience 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 algo-rithmic 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.