High Speed Extraction Model of ROI for Automatic Logistics System

  • Moon-sung Park
  • Il-sook Kim
  • Eun-kyung Cho
  • Young-hee Kwon
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3316)


This paper deals with a model for the high-speed extraction of Region of Interest (ROI) during the process of logistics transported on conveyor belt.The objective of this paper is to extract various ROIs of the large size image of logistics more than 4,096 by 4,096. For this purpose, we propose a wavelet extension and a texture extension method, and verified it by the experiments. Our experiments show that the proposed methods extract ROIs nearly 100 percent.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Moon-sung Park
    • 1
  • Il-sook Kim
    • 2
  • Eun-kyung Cho
    • 3
  • Young-hee Kwon
    • 3
  1. 1.ETRIPostal Technology Research CenterDaejeonKorea
  2. 2.Paichai UniversityDaejeonKorea
  3. 3.Department of Computer, Internet & InformationDaeDuk CollegeDaejeonKorea

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