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Shape and Level Bottles Detection Using Local Standard Deviation and Hough Transform

International Journal of Electrical and Computer Engineering (IJECE) · Vol. 8 No. 6 (2018)

DOI
10.11591/ijece.v8i6.pp5032-5040
ISSN
2088-8708, 2088-8708
Published
2018-12-01
Publisher
Institute of Advanced Engineering and Science
License
creativecommons.org/licenses/by-nc/4.0

Abstract

This paper presents shape and level analysis using local standard deviation and Hough transform technique to detect the shape and level of the bottle.A 155 sample images are used as a test product to detect shape and level. Local standard deviation is used contrast gain technique to segment the shape of the bottle by enhancing the contrast of the image. The ratio of the area is calculated from the extent parameter. The maximum and minimum water level is created by using Hough transform technique to identify the level of the water. Decision tree is applied to classify the shape and level of the bottle either good or defect condition. From experimental result, 97% and 93% accuracy of shape and level is achieved which shows that the proposed analysis technique is potential to be applied for beverages product inspection system.

Collaboration network of the authors

24 authors · 76 co-authorship links · 18 across different organisations

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Universiti Teknikal Malaysia Melaka
  • Universitas Ahmad Dahlan
  • Universiti Putra Malaysia
  • University of Osijek
  • Multimedia University
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Tole SutiknoUniversitas Ahmad Dahlan6
Mohd Hatta JopriUniversiti Teknikal Malaysia Melaka6
Mustafa ManapUniversiti Teknikal Malaysia Melaka6
Nursabillilah Mohd AliUniversiti Teknikal Malaysia Melaka6
M. Rahimi YusoffUniversiti Teknikal Malaysia Melaka5
N. S. M. NoorUniversiti Teknikal Malaysia Melaka4
Ahmad Sobri MudaUniversiti Putra Malaysia4
A.S. HussinUniversiti Teknikal Malaysia Melaka2
Mohd Ruddin Ab GhaniUniversiti Teknikal Malaysia Melaka2
Jingwei TooUniversiti Teknikal Malaysia Melaka2
Haslinda MusaUniversiti Teknikal Malaysia Melaka2
Norihan Binti Abdul HamidUniversiti Teknikal Malaysia Melaka2
M. A. Muhammad SyahmiUniversiti Teknikal Malaysia Melaka2
Nur Hasanah AliMultimedia University2
Shaarmila KandayaUniversiti Teknikal Malaysia Melaka2
Ezreen Farina ShairUniversiti Teknikal Malaysia Melaka2
Muhammad Izzat Ahmad SabriAffiliation unknown2
M.F. HabbanUniversiti Teknikal Malaysia Melaka1
Muhamad Faizal YaakubUniversiti Teknikal Malaysia Melaka1
Weihown TeeAffiliation unknown1
Srete NikolovskiUniversity of Osijek1

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.

This record comes from Crossref (what the publisher deposited), because the journal's own OAI-PMH endpoint could not be harvested.

Metadata source: Crossref API (cadangan, berdasarkan ISSN) https://api.crossref.org/journals/2088-8708/works, first harvested 27 Okt 2026, last seen 27 Okt 2026.
Metadata as oai_dc, converted from Crossref 
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/"><dc:title>Shape and Level Bottles Detection Using Local Standard Deviation and Hough Transform</dc:title><dc:creator>Abdul Rahman, Nor Nabilah Syazana</dc:creator><dc:creator>Saad, Norhashimah Mohd</dc:creator><dc:creator>Abdullah, Abdul Rahim</dc:creator><dc:description>&lt;jats:p&gt;This paper presents shape and level analysis using local standard deviation and Hough transform technique to detect the shape and level of the bottle.A 155 sample images are used as a test product to detect shape and level. Local standard deviation is used contrast gain technique to segment the shape of the bottle by enhancing the contrast of the image. The ratio of the area is calculated from the extent parameter. The maximum and minimum water level is created by using Hough transform technique to identify the level of the water. Decision tree is applied to classify the shape and level of the bottle either good or defect condition. From experimental result, 97% and 93% accuracy of shape and level is achieved which shows that the proposed analysis technique is potential to be applied for beverages product inspection system.&lt;/jats:p&gt;</dc:description><dc:publisher>Institute of Advanced Engineering and Science</dc:publisher><dc:date>2018-12-01</dc:date><dc:type>info:eu-repo/semantics/article</dc:type><dc:format>application/pdf</dc:format><dc:identifier>https://doi.org/10.11591/ijece.v8i6.pp5032-5040</dc:identifier><dc:identifier>10.11591/ijece.v8i6.pp5032-5040</dc:identifier><dc:source>International Journal of Electrical and Computer Engineering (IJECE); Vol 8 No 6 (2018); 5032</dc:source><dc:source>2088-8708</dc:source><dc:source>2088-8708</dc:source><dc:relation>http://ijece.iaescore.com/index.php/IJECE/article/viewFile/11937/11357</dc:relation><dc:rights>http://creativecommons.org/licenses/by-nc/4.0</dc:rights></oai_dc:dc>