Z-images - Université d'Évry Access content directly
Conference Papers Year : 2017

Z-images

Abstract

Local patterns and other patch based features have been an integral part of various computer vision applications as they encode local structural and statistical information. In this paper, we propose an image coding technique that utilizes Zeckendorf representation of pixel intensities and basic mathematical operators such as intersection, set difference, maximum, summation etc. for summarization of image regions. The algorithm produces a Z-coded image that tells about the homogeneity or the contrast in image regions with all codes in a range of 0 to 255.
Fichier principal
Vignette du fichier
Vigneron2017.pdf (255.94 Ko) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-01560063 , version 1 (21-09-2022)

Licence

Attribution - NonCommercial

Identifiers

Cite

Vincent Vigneron, Tahir Qasim Syed, Leonardo Tomazeli Duarte, Elmar Lang, Sadaf Iqbal Behlim, et al.. Z-images. 8th Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA 2017), Jun 2017, Faro, Portugal. pp.177-184, ⟨10.1007/978-3-319-58838-4_20⟩. ⟨hal-01560063⟩
285 View
16 Download

Altmetric

Share

Gmail Facebook X LinkedIn More