Volume Measurement Algorithm for Food Product with Irregular Shape using Computer Vision based on Monte Carlo Method
| Main Authors: | Siswantoro, Joko; Department of Mathematics and Sciences, Universitas Surabaya, Prabuwono, Anton Satria; Center for Artificial Intelligence Technology, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, Abdullah, Azizi; Center for Artificial Intelligence Technology, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia |
|---|---|
| Format: | Article info application/pdf eJournal |
| Bahasa: | eng |
| Terbitan: |
ITB Journal Publisher, LPPM ITB
, 2014
|
| Subjects: | |
| Online Access: |
http://journals.itb.ac.id/index.php/jictra/article/view/844 http://journals.itb.ac.id/index.php/jictra/article/view/844/521 |
Daftar Isi:
- 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.