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Determining the Number of Batik Motif Object based on Hierarchical Symmetry Detection Approach

Indonesian Journal of Electical Engineering and Informatics (IJEEI) · Vol. 9 No. 1 (2021) · pp. 141–152

DOI
10.52549/ijeei.v9i1.2369
ISSN
2089-3272, 2089-3272
Published
2021-03-03
Publisher
IAES Indonesian Section
Language
en

Abstract

In certain conditions, symmetry can be used to describe objects in the batik motif efficiently. Symmetry can be defined based on three linear transformations of dimension n in Euclidian space in the form of translation and rotation. This concept is useful for detecting objects and recognising batik motifs. In this study, we conducted a study of the symmetry effect to determine the number of batik motif objects in an image using symmetry algorithm through a hierarchical approach. The process focuses on determining the intersection line of the batik motif object. Furthermore, by utilising intersection line information for bilateral and rotational symmetry, the number of objects carried out recursively is determined. The results obtained are numbers of batik motif objects through symmetry detection. This information will be used as a reference for batik motif detection. Based on the experimental results, there are some errors caused by the axis of the symmetry line that is not appropriate due to the characteristics of batik motifs. The problem is solved by adding several rules to detect symmetry line and to determine the number of objects. The additional rules increase the average accuracy of the number of object detection from 66.21% to 86.19% (19.99% increase).

Keywords

Collaboration network of the authors

18 authors · 47 co-authorship links · 25 across different organisations

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  • Mercu Buana University
  • University of Indonesia
  • University of Reading
  • Walailak University
  • La Trobe University
  • University of Technology Malaysia
  • Coventry (United Kingdom)
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Aniati Murni ArymurthyUniversity of Indonesia5
Ruli ManurungAffiliation unknown4
Hong WeiUniversity of Reading4
Devi FitrianahMercu Buana University4
Handrie NoprissonMercu Buana University4
Dimas Widya Putra PratamaAffiliation unknown3
Fitri YakubUniversity of Technology Malaysia2
Inge DhamantiLa Trobe University2
Benny TjahjonoCoventry (United Kingdom)2
L. M. Rasdi RereUniversity of Indonesia1
Mohamad Ivan FananyUniversity of Indonesia1
Slamet RiyadiMercu Buana University1
Chirawat WattanapanichWalailak University1
Wijittra PetchkitWalailak University1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) http://section.iaesonline.com/index.php/IJEEI/oai, first harvested 8 Nov 2026, last seen 8 Nov 2026.
Original metadata (oai_dc)
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	<dc:title xml:lang="en">Determining the Number of Batik Motif Object based on Hierarchical Symmetry Detection Approach</dc:title>
	<dc:creator xml:lang="en">Nurhaida, Ida</dc:creator>
	<dc:creator xml:lang="en">Zen, Remmy A. M.</dc:creator>
	<dc:creator xml:lang="en">Ayumi, Vina</dc:creator>
	<dc:creator xml:lang="en">Wei, Hong</dc:creator>
	<dc:subject xml:lang="en">batik</dc:subject>
	<dc:subject xml:lang="en">motif detection</dc:subject>
	<dc:subject xml:lang="en">symmetry detection</dc:subject>
	<dc:subject xml:lang="en">hierarchical approach</dc:subject>
	<dc:description xml:lang="en">In certain conditions, symmetry can be used to describe objects in the batik motif efficiently. Symmetry can be defined based on three linear transformations of dimension n in Euclidian space in the form of translation and rotation. This concept is useful for detecting objects and recognising batik motifs. In this study, we conducted a study of the symmetry effect to determine the number of batik motif objects in an image using symmetry algorithm through a hierarchical approach. The process focuses on determining the intersection line of the batik motif object. Furthermore, by utilising intersection line information for bilateral and rotational symmetry, the number of objects carried out recursively is determined. The results obtained are numbers of batik motif objects through symmetry detection. This information will be used as a reference for batik motif detection. Based on the experimental results, there are some errors caused by the axis of the symmetry line that is not appropriate due to the characteristics of batik motifs. The problem is solved by adding several rules to detect symmetry line and to determine the number of objects. The additional rules increase the average accuracy of the number of object detection from 66.21% to 86.19% (19.99% increase).</dc:description>
	<dc:publisher xml:lang="en">IAES Indonesian Section</dc:publisher>
	<dc:date>2021-03-03</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://section.iaesonline.com/index.php/IJEEI/article/view/2369</dc:identifier>
	<dc:identifier>10.52549/ijeei.v9i1.2369</dc:identifier>
	<dc:source xml:lang="en">Indonesian Journal of Electrical Engineering and Informatics (IJEEI); Vol. 9 No. 1: March 2021; 141-152</dc:source>
	<dc:source>2089-3272</dc:source>
	<dc:source>2089-3272</dc:source>
	<dc:language>en</dc:language>
	<dc:relation>https://section.iaesonline.com/index.php/IJEEI/article/view/2369/597</dc:relation>
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