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Data · dataset · 2013

Hyper-Fractal Analysis v04: Implementation of a fuzzy box-counting algorithm for image analysis of artistic works

Listed in Teesside University Research Data Repository

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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.

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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)

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Provenance · 1 source records, 9 field assertions
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Teesside University Research Data Repositoryoai:data.mendeley.com/g7gdbdchw7.17 h agoJSON v1
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concepts[field].anzsrc:field:460702mapping · researchdata tees ac ukvocabulary-mapper@1.0.0keywords['Computer Graphics']
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concepts[field].local:field:physicsmapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
concepts[modality].local:modality:imageenrichment · researchdata tees ac ukkeyword-concept-rules@1.0.0title+description (75%)
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