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.