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Volume Measurement Algorithm for Food Product with Irregular Shape using Computer Vision based on Monte Carlo Method

Journal of ICT Research and Applications (JICTRA) · Vol. 8 No. 1 (2014) · pp. 1–17

DOI
10.5614/itbj.ict.res.appl.2014.8.1.1
ISSN
2338-5499, 2337-5787
Published
2014-05-01
Publisher
DRI - ITB
Language
eng

Abstract

Volume is one of important issues in the production and processing of food product. Traditionally, volume measurement can be performed using water displacement method based on Archimedes' principle. Water displacement method is inaccurate and considered as destructive method. Computer vision offers an accurate and nondestructive method in measuring volume of food product. This paper proposes algorithm for volume measurement of irregular shape food product using computer vision based on Monte Carlo method. Five images of object were acquired from five different views and then processed to obtain the silhouettes of object. From the silhouettes of object, Monte Carlo method was performed to approximate the volume of object. The simulation result shows that the algorithm produced high accuracy and precision for volume measurement.

Collaboration network of the authors

9 authors · 18 co-authorship links · 14 across different organisations

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

  • Atma Jaya University Yogyakarta
  • National University of Malaysia
  • University of Surabaya
  • King Abdulaziz University
  • Universiti Teknikal Malaysia Melaka
  • Universitas Gadjah Mada
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Bahari IndrusNational University of Malaysia3
Fauziah Binti KasminUniversiti Teknikal Malaysia Melaka2
Pranowo PranowoAtma Jaya University Yogyakarta1
Djoko Budiyanto SetyohadiAtma Jaya University Yogyakarta1
Sri KusrohmaniahUniversitas Gadjah Mada1
Sebastian Bagya GunawanAtma Jaya University Yogyakarta1

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) https://journals.itb.ac.id/index.php/jictra/oai, first harvested 26 Okt 2026, last seen 26 Okt 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en-US">Volume Measurement Algorithm for Food Product with Irregular Shape using Computer Vision based on Monte Carlo Method</dc:title>
	<dc:creator>Siswantoro, Joko</dc:creator>
	<dc:creator>Prabuwono, Anton Satria</dc:creator>
	<dc:creator>Abdullah, Azizi</dc:creator>
	<dc:description xml:lang="en-US"> Volume is one of important issues in the production and processing of food product. Traditionally, volume measurement can be performed using water displacement method based on Archimedes' principle. Water displacement method is inaccurate and considered as destructive method. Computer vision offers an accurate and nondestructive method in measuring volume of food product. This paper proposes algorithm for volume measurement of irregular shape food product using computer vision based on Monte Carlo method. Five images of object were acquired from five different views and then processed to obtain the silhouettes of object. From the silhouettes of object, Monte Carlo method was performed to approximate the volume of object. The simulation result shows that the algorithm produced high accuracy and precision for volume measurement.</dc:description>
	<dc:publisher xml:lang="en-US">DRI - ITB</dc:publisher>
	<dc:date>2014-05-01</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
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	<dc:type xml:lang="en-US">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journals.itb.ac.id/index.php/jictra/article/view/844</dc:identifier>
	<dc:identifier>10.5614/itbj.ict.res.appl.2014.8.1.1</dc:identifier>
	<dc:source xml:lang="en-US">Journal of ICT Research and Applications; Vol. 8 No. 1 (2014); 1-17</dc:source>
	<dc:source>2338-5499</dc:source>
	<dc:source>2337-5787</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journals.itb.ac.id/index.php/jictra/article/view/844/521</dc:relation>
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