文章基本信息

标题：Volume Measurement Algorithm for Food Product with Irregular Shape using Computer Vision based on Monte Carlo Method
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作者：Joko Siswantoro ; Anton Satria Prabuwono ; Azizi Abdullah 等
期刊名称：Journal of ICT Research and Applications
印刷版ISSN：2337-5787
电子版ISSN：2338-5499
出版年度：2014
卷号：8
期号：1
页码：1-17
语种：English
出版社：Institut Teknologi Bandung
其他摘要：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.