• Ying Lin
  • Yong Liu
  • Yueheng Sun
  • Yanhong Sun
Conference paper
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 294)


This paper presents a quantity intelligent reckoning approach for packaged granary grain based on image processing. The actual scene video was taken as the analysis object, and the dual-threshold Canny operator and the morphology processing method are used to extract the object grain bags’ characteristic outline-- the boundary of the counter-band of light. Then, a counting algorithm which integrates mode theory and variance analysis technology is presented for the quantity second-judgment. Experimental results show that by accurately extracting the characteristic outline and counting the number of the characteristic outline, the algorithm presents an effective method for grain quantity detection with high recognition precision and efficiency.


Gray Image Scene Image Characteristic Outline Counting Algorithm Quantity Reckoning 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer Science+Business Media, LLC 2009

Authors and Affiliations

  1. 1.Chongqing Jiao Tong UniversityChongqingChina
  2. 2.Tianjin UniversityTianjinChina

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