NEW METHODS FOR DISHWARE IDENTIFICATION AND INSPECTION

Trung H. Duong, Larry Hoberock

Abstract

We propose automatically identifying dishes in mixed batches by using statistics of shape descriptors of dish pieces. Experiments were conducted on 725 images of ceramic and plastic dishes taken in different lighting conditions using different positions of 84 separate dishes of 5 different styles and shapes. In order to find the minimum set of descriptors to produce fast, adaptable and efficient automatic dish recognition, we employed several shape-based properties, including area, perimeter, ratio of length to width, extension, and minimum bounding box, together with some properties based on gray level and color. For dish inspection, we propose a new technique using partitioning and adaptive thresholding, combined with global thresholding. For practical purposes, the algorithm should be fast, simple, and produce results invariant with lighting conditions and dish rotation about the camera-dish axis. Such an algorithm is described in this work. MatlabĀ® R14 and Image Processing Toolbox V5.0 were used.

References

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Paper Citation


in Harvard Style

Duong T. and Hoberock L. (2009). NEW METHODS FOR DISHWARE IDENTIFICATION AND INSPECTION . In Proceedings of the 6th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 978-989-674-000-9, pages 127-134. DOI: 10.5220/0002169301270134


in Bibtex Style

@conference{icinco09,
author={Trung H. Duong and Larry Hoberock},
title={NEW METHODS FOR DISHWARE IDENTIFICATION AND INSPECTION},
booktitle={Proceedings of the 6th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2009},
pages={127-134},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002169301270134},
isbn={978-989-674-000-9},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 6th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - NEW METHODS FOR DISHWARE IDENTIFICATION AND INSPECTION
SN - 978-989-674-000-9
AU - Duong T.
AU - Hoberock L.
PY - 2009
SP - 127
EP - 134
DO - 10.5220/0002169301270134