Z-images - Archive ouverte HAL Access content directly
Conference Papers Year : 2017



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)


Attribution - NonCommercial



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⟩
283 View
13 Download



Gmail Facebook X LinkedIn More