2026-10-15T08:26:20Z https://data.mendeley.com/oai

oai:data.mendeley.com/g7gdbdchw7.1 2013-07-01T11:00:00Z

CPC, Mendeley Hyper-Fractal Analysis v04: Implementation of a fuzzy box-counting algorithm for image analysis of artistic works Elsevier Data Repository Abstract This work presents a new version of a Visual Basic 6.0 application for estimating the fractal dimension of images and 4D objects (Grossu et al. 2013 [1]). Following our attempt of investigating artistic works by fractal analysis of craquelure, we encountered important difficulties in filtering real information from noise. In this context, trying to avoid a sharp delimitation of “black” and “white” pixels, we implemented a fuzzy box-counting algorithm. Title of program: Hyper-Fractal Analysis v04 Catalogue Id: AEEG_v4_0 Nature of problem Estimating the fractal dimension of images Versions of this program held in the CPC repository in Mendeley Data AEEG_v1_0; Fractal Analysis v01; 10.1016/j.cpc.2009.05.015 AEEG_v2_0; Fractal Analysis v02; 10.1016/j.cpc.2009.12.005 AEEG_v3_0; Hyper-Fractal Analysis (Frcatal Analysis v03); 10.1016/j.cpc.2012.11.018 AEEG_v4_0; Hyper-Fractal Analysis v04; 10.1016/j.cpc.2013.02.026 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019) Computer Graphics Computational Physics Grossu, I.V. El-Shamali, S.A. Dataset doi:10.17632/g7gdbdchw7.1 oai:data.mendeley.com/g7gdbdchw7.1 Computer Physics Communications Journal Licence https://www.elsevier.com/about/policies/open-access-licenses/elsevier-user-license/cpc-license/ https://elsevier.digitalcommonsdata.com/datasets/g7gdbdchw7 2013-07-01T11:00:00Z