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

Oleh:

Siswantoro, Joko ; Prabuwono, Anton Satria ; Abdullah, Azizi

Jenis: Article from Journal - ilmiah nasional - terakreditasi DIKTI
Dalam koleksi: Journal of ICT Research and Applications vol. 8C no. 1 (2014), page 1-17.
Topik: computer vision; food product; irregular shape; Monte Carlo method; volume measurement.
Fulltext: C13349.pdf (234.1KB)

Isi artikel

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.

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