The Geodesic Distance on the Generalized Gamma Manifold for Texture Image Retrieval

In this paper, the similarity measurement issue, in the context of texture images comparison, is tackled from a geometrical point of view by computing the Rao Geodesic distance on the Generalized Gamma distributions (G Γ D) manifold. This latter permits a generic and flexible characterization thanks...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Journal of mathematical imaging and vision Jg. 64; H. 3; S. 243 - 260
Hauptverfasser:	Abbad, Zakariae, Maliani, Ahmed Drissi El, Alaoui, Said Ouatik El, Hassouni, Mohammed El, Abbassi, Mohamed Tahar Kadaoui
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.03.2022 Springer Nature B.V
Schlagworte:	Applications of Mathematics Computation Computer Science Differential geometry Divergence Image management Image Processing and Computer Vision Image retrieval Manifolds (mathematics) Mathematical Methods in Physics Mathematical models Parameter modification Polynomials Signal,Image and Speech Processing Similarity Texture Information geometry Geodesic distance Texture retrieval Generalized gamma manifold
ISSN:	0924-9907, 1573-7683
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!