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Volume Measurement Algorithm for Food Product with Irregular Shape using Computer Vision based on Monte Carlo Method
Joko Siswantoro1,2, Anton Satria Prabuwono1,3 & Azizi Abdullah1
1Center for Artificial Intelligence Technology,
Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia,
43600 UKM, Bangi, Selangor D. E., Malaysia
2Department of Mathematics and Sciences, Universitas Surabaya,
Jalan Kali Rungkut Tengilis, Surabaya, 60293, Indonesia
3Faculty of Computing and Information Technology in Rabigh,
King Abdulaziz University, P.O. Box 344, Rabigh, Saudi Arabia
Email: joko_siswantoro@ubaya.ac.id
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.
Keywords: computer vision; food product; irregular shape; Monte Carlo method; volume measurement.
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