Visual tool for estimating the fractal dimension of images
Main Author: | CPC, Mendeley |
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Other Authors: | Grossu, I.V., Besliu, C., Rusu, M.V., Jipa, Al., Bordeianu, C.C., Felea, D. |
Format: | Dataset |
Terbitan: |
Mendeley
, 2009
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Subjects: | |
Online Access: |
https:/data.mendeley.com/datasets/cfrkhb6pmc |
ctrlnum |
0.17632-cfrkhb6pmc.1 |
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fullrecord |
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<dc><creator>CPC, Mendeley</creator><title>Visual tool for estimating the fractal dimension of images </title><publisher>Mendeley</publisher><description>Abstract
This work presents a new Visual Basic 6.0 application for estimating the fractal dimension of images, based on an optimized version of the box-counting algorithm. Following the attempt to separate the real information from “noise”, we considered also the family of all band-pass filters with the same band-width (specified as parameter). The fractal dimension can be thus represented as a function of the pixel color code. The program was used for the study of paintings cracks, as an additional t...
Title of program: Fractal Analysis v01
Catalogue Id: AEEG_v1_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>Besliu, C.</contributor><contributor>Rusu, M.V.</contributor><contributor>Jipa, Al.</contributor><contributor>Bordeianu, C.C.</contributor><contributor>Felea, D.</contributor><type>Other:Dataset</type><identifier>10.17632/cfrkhb6pmc.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/cfrkhb6pmc</relation><date>2009-10-01T11:00:00Z</date><recordID>0.17632-cfrkhb6pmc.1</recordID></dc>
|
format |
Other:Dataset Other |
author |
CPC, Mendeley |
author2 |
Grossu, I.V. Besliu, C. Rusu, M.V. Jipa, Al. Bordeianu, C.C. Felea, D. |
title |
Visual tool for estimating the fractal dimension of images |
publisher |
Mendeley |
publishDate |
2009 |
topic |
Computer Graphics Computational Physics |
url |
https:/data.mendeley.com/datasets/cfrkhb6pmc |
contents |
Abstract
This work presents a new Visual Basic 6.0 application for estimating the fractal dimension of images, based on an optimized version of the box-counting algorithm. Following the attempt to separate the real information from “noise”, we considered also the family of all band-pass filters with the same band-width (specified as parameter). The fractal dimension can be thus represented as a function of the pixel color code. The program was used for the study of paintings cracks, as an additional t...
Title of program: Fractal Analysis v01
Catalogue Id: AEEG_v1_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) |
id |
IOS7969.0.17632-cfrkhb6pmc.1 |
institution |
Universitas Islam Indragiri |
affiliation |
onesearch.perpusnas.go.id |
institution_id |
804 |
institution_type |
library:university library |
library |
Teknologi Pangan UNISI |
library_id |
2816 |
collection |
Artikel mulono |
repository_id |
7969 |
city |
INDRAGIRI HILIR |
province |
RIAU |
shared_to_ipusnas_str |
1 |
repoId |
IOS7969 |
first_indexed |
2020-04-08T08:15:52Z |
last_indexed |
2020-04-08T08:15:52Z |
recordtype |
dc |
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1686587412055064576 |
score |
17.538404 |