Abstract
This paper deals with a model for the high-speed extraction of ROI (Region Of Interest) during the process of logistics transported on conveyor belt. The objective of this paper is to extract various ROIs from large size image of logistics more than 4096 by 4096. For this purpose we propose two algorithms, a PIM (Picture Information Measure) and a Difference Block algorithm, and verified it by the experiments. Our experiments show that the proposed methods extract ROIs nearly 100 percent.
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References
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© 2005 Springer-Verlag Berlin Heidelberg
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Park, Ms., Kim, Is., Cho, Ek., Kwon, Yh., Park, Jh. (2005). High-Speed Extraction Model of Interest Region in the Parcel Image of Large Size. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2005. Lecture Notes in Computer Science(), vol 3684. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11554028_77
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DOI: https://doi.org/10.1007/11554028_77
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28897-8
Online ISBN: 978-3-540-31997-9
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