Z-images

Vincent Vigneron (1) , Tahir Qasim Syed (2) , Leonardo Tomazeli Duarte (3) , Elmar Lang (4) , Sadaf Iqbal Behlim (2) , Ana Maria Tome (5)

1 IBISC - Informatique, Biologie Intégrative et Systèmes Complexes
2 Department of Computer Science
3 DSPCom - Laboratory of Signal Processing for Communications
4 Computational Intelligence and Machine Learning Group
5 IEETA - Institute of Electronics and Telematics Engineering of Aveiro

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.

Mots clés: Generative model; Image descriptor; LBP; Zeckendorf theorem

Domaines: Traitement du signal et de l'image [eess.SP]

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⟩