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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
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).
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
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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)
<oai_dc:dc xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
<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>
</oai_dc:dc>
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3 citations
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Cite this article
APA 7
Nurhaida, I., Zen, R. A. M., Ayumi, V., & Wei, H. (2021). Determining the Number of Batik Motif Object based on Hierarchical Symmetry Detection Approach. Indonesian Journal of Electical Engineering and Informatics (IJEEI), 9(1), 141–152. https://doi.org/10.52549/ijeei.v9i1.2369
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IEEE
I. Nurhaida, R. A. M. Zen, V. Ayumi, and H. Wei, “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, pp. 141–152, 2021, doi: 10.52549/ijeei.v9i1.2369.
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