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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.
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Conference papers
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https://hal.archives-ouvertes.fr/hal-01560063
Contributor : Frédéric Davesne <>
Submitted on : Tuesday, July 11, 2017 - 11:18:13 AM
Last modification on : Saturday, May 1, 2021 - 3:50:02 AM

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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⟩

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