A Measure of Q-convexity for Shape Analysis-Reference-Cited by-同舟云学术

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A Measure of Q-convexity for Shape Analysis

Published:2020-06-02 Issue:8 Volume:62 Page:1121-1135
ISSN:0924-9907
Container-title:Journal of Mathematical Imaging and Vision
language:en
Short-container-title:J Math Imaging Vis

Author:

Balázs Péter,Brunetti Sara^ORCID

Funder

European Union and co-funded by the European Social Fund

Ministry for Innovation and Technology

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Geometry and Topology,Computer Vision and Pattern Recognition,Condensed Matter Physics,Modeling and Simulation,Statistics and Probability

Link

https://link.springer.com/content/pdf/10.1007/s10851-020-00962-9.pdf

Reference27 articles.

1. Alajlan, N., El Rube, I., Kamel, M.S., Freeman, G.: Shape retrieval using triangle-area representation and dynamic space warping. Pattern Recognit. 40, 1911–1920 (2007)

2. Balázs, P., Ozsvár, Z., Tasi, T.S., Nyúl, L.G.: A measure of directional convexity inspired by binary tomography. Fundam. Inform. 141(2–3), 151–167 (2015)

3. Balázs, P., Brunetti, S.: A Measure of $${Q}$$-convexity. Lecture Notes in Computer Science 9647, Discrete Geometry for Computer Imagery (DGCI), pp. 219–230. Nantes, France (2016)

4. Balázs, P., Brunetti, S.: A New Shape Descriptor Based on a $$Q$$-convexity Measure. Lecture Notes in Computer Science 1502, Discrete Geometry for Computer Imagery (DGCI), pp. 267–278. Vienna, Austria (2017)

5. Balázs, P., Brunetti, S.: A $$Q$$-convexity vector descriptor for image analysis. J. Math. Imaging Vis. 61(2), 193–203 (2019)

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