title: Monte Carlo method with heuristic adjustment for irregularly shaped food product volume measurement.
abstract: Volume measurement plays an important role in the production and processing of food products. Various methods have been proposed to measure the volume of food products with irregular shapes based on 3D reconstruction. However, 3D reconstruction comes with a high-priced computational cost. Furthermore, some of the volume measurement methods based on 3D reconstruction have a low accuracy. Another method for measuring volume of objects uses Monte Carlo method. Monte Carlo method performs volume measurements using random points. Monte Carlo method only requires information regarding whether random points fall inside or outside an object and does not require a 3D reconstruction. This paper proposes volume measurement using a computer vision system for irregularly shaped food products without 3D reconstruction based on Monte Carlo method with heuristic adjustment. Five images of food product were captured using five cameras and processed to produce binary images. Monte Carlo integration with heuristic adjustment was performed to measure the volume based on the information extracted from binary images. The experimental results show that the proposed method provided high accuracy and precision compared to the water displacement method. In addition, the proposed method is more accurate and faster than the space carving method.
authors.affiliation: Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia (UKM), 43600 Bangi, Selangor Darul Ehsan, Malaysia ; Faculty of Engineering, University of Surabaya, Jl. Kali Rungkut, Surabaya 60293, Indonesia.
authors.forename: Joko
authors.initials: J
authors.lastname: Siswantoro
authors.affiliation: Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia (UKM), 43600 Bangi, Selangor Darul Ehsan, Malaysia ; Faculty of Computing and Information Technology, King Abdulaziz University, P.O. Box 344, Rabigh 21911, Saudi Arabia.
authors.forename: Anton Satria
authors.identifier: 0000-0003-3337-6605
authors.initials: AS
authors.lastname: Prabuwono
authors.affiliation: Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia (UKM), 43600 Bangi, Selangor Darul Ehsan, Malaysia.
authors.forename: Azizi
authors.identifier: 0000-0002-7166-4416
authors.initials: A
authors.lastname: Abdullah
authors.affiliation: Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia (UKM), 43600 Bangi, Selangor Darul Ehsan, Malaysia.
authors.forename: Bahari
authors.initials: B
authors.lastname: Idrus
mesh_terms: D002138:Calibration; D003199:Computer Systems; D005502:Food; D009010:Monte Carlo Method