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. © Springer-Verlag Berlin Heidelberg 2005.
Cite
CITATION STYLE
Park, M. S., Kim, I. S., Cho, E. K., Kwon, Y. H., & Park, J. H. (2005). High-speed extraction model of interest region in the parcel image of large size. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3684 LNAI, pp. 559–565). Springer Verlag. https://doi.org/10.1007/11554028_77
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