Volume measurement algorithm for food product with irregular shape using computer vision based on Monte Carlo method

Joko Siswantoro, Anton Satria Prabuwono, Azizi Abdullah

Research output: Contribution to journalArticle

6 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)1-17
Number of pages17
JournalJournal of ICT Research and Applications
Volume8
Issue number1
DOIs
Publication statusPublished - 2014

Fingerprint

Volume measurement
Computer vision
Monte Carlo methods
Water
Processing
Monte Carlo method
Food products

Keywords

  • Computer vision
  • Food product
  • Irregular shape
  • Monte Carlo method
  • Volume measurement

ASJC Scopus subject areas

  • Computer Science(all)
  • Electrical and Electronic Engineering
  • Information Systems and Management

Cite this

Volume measurement algorithm for food product with irregular shape using computer vision based on Monte Carlo method. / Siswantoro, Joko; Prabuwono, Anton Satria; Abdullah, Azizi.

In: Journal of ICT Research and Applications, Vol. 8, No. 1, 2014, p. 1-17.

Research output: Contribution to journalArticle

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