Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/38078
Title: Corner detection using the affine morphological scale space
Authors: Alvarez, Luis 
UNESCO Clasification: 120601 Construcción de algoritmos
120602 Ecuaciones diferenciales
120326 Simulación
220990 Tratamiento digital. Imágenes
Keywords: Affine scale space
Corner detection
Morphology
Issue Date: 2017
Publisher: Springer
Journal: Lecture Notes in Computer Science 
Conference: 6th International Conference on Scale Space and Variational Methods in Computer Vision (SSVM) 
6th International Conference on Scale Space and Variational Methods in Computer Vision, SSVM 2017 
Abstract: We introduce a method for corner estimation based on the affine morphological scale space (AMSS). Using some explicit known formula about corner evolution across AMSS, proven by Alvarez and Morales in 1997, we define a morphological cornerness measure based on the expected evolution of an ideal corner across AMSS. We define a new procedure to track the corner motion across AMSS. To evaluate the accuracy of the method we study in details the results for a collection of synthetic corners with angles from 15 to 160°. We also present experiments in real images and we show that the proposed method can also automatically handle the case of multiple junctions.
URI: http://hdl.handle.net/10553/38078
ISBN: 978-3-319-58770-7
ISSN: 0302-9743
DOI: 10.1007/978-3-319-58771-4_3
Source: Scale Space and Variational Methods in Computer Vision. SSVM 2017. Lecture Notes in Computer Science, v. 10302 LNCS, p. 29-40
Appears in Collections:Capítulo de libro
Show full item record

SCOPUSTM   
Citations

3
checked on Apr 14, 2024

WEB OF SCIENCETM
Citations

1
checked on Feb 25, 2024

Page view(s)

101
checked on Feb 10, 2024

Google ScholarTM

Check

Altmetric


Share



Export metadata



Items in accedaCRIS are protected by copyright, with all rights reserved, unless otherwise indicated.