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

Main Author: CPC, Mendeley
Other Authors: Grossu, I.V., El-Shamali, S.A.
Format: Dataset
Terbitan: Mendeley , 2013
Subjects:
Online Access: https:/data.mendeley.com/datasets/g7gdbdchw7
ctrlnum 0.17632-g7gdbdchw7.1
fullrecord <?xml version="1.0"?> <dc><creator>CPC, Mendeley</creator><title>Hyper-Fractal Analysis v04: Implementation of a fuzzy box-counting algorithm for image analysis of artistic works </title><publisher>Mendeley</publisher><description>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 &#x201C;black&#x201D; and &#x201C;white&#x201D; 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)</description><subject>Computer Graphics</subject><subject>Computational Physics</subject><contributor>Grossu, I.V.</contributor><contributor>El-Shamali, S.A.</contributor><type>Other:Dataset</type><identifier>10.17632/g7gdbdchw7.1</identifier><rights>Computer Physics Communications Journal Licence</rights><rights>https://www.elsevier.com/about/policies/open-access-licenses/elsevier-user-license/cpc-license/</rights><relation>https:/data.mendeley.com/datasets/g7gdbdchw7</relation><date>2013-07-01T11:00:00Z</date><recordID>0.17632-g7gdbdchw7.1</recordID></dc>
format Other:Dataset
Other
author CPC, Mendeley
author2 Grossu, I.V.
El-Shamali, S.A.
title Hyper-Fractal Analysis v04: Implementation of a fuzzy box-counting algorithm for image analysis of artistic works
publisher Mendeley
publishDate 2013
topic Computer Graphics
Computational Physics
url https:/data.mendeley.com/datasets/g7gdbdchw7
contents 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)
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first_indexed 2020-04-08T08:25:40Z
last_indexed 2020-04-08T08:25:40Z
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