Universiti Teknologi Malaysia Institutional Repository

Machine vision for starfruit (averrhua carambola) inspection

Syed Abu Bakar, Syed Ab. Rahman and Mokji, Musa and Sheikh, Usman Ullah and Ahmad Kamil, M. F. (2010) Machine vision for starfruit (averrhua carambola) inspection. In: 4th Asia International Conference on Mathematical Modelling & Computer Simulation (AMS 2010), 26-28 Mei 2010, Kota Kinabalu, Sabah.

Full text not available from this repository.

Official URL: http://dx.doi.org/10.1109/AMS.2010.73

Abstract

This paper describes a machine vision system for starfruit inspection. We propose a setup framework for image acquisition. The acquired image is then analyzed using convex hull algorithm to determine the shape defect and classify the starfruit. This paper proposes a hardware design to capture starfruit images from three sides so as to obtain overall shape of the fruit. The framework was simulated using Autodesk 3dsmax 2010 software and prototype hardware was built to verify the design.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:inspection, machine vision, starfruit(averrhua carambola) inspection
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:Electrical Engineering
ID Code:24077
Deposited By: Liza Porijo
Deposited On:24 Sep 2012 05:34
Last Modified:24 Sep 2012 05:34

Repository Staff Only: item control page