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Computer Science and Computational Technology, International Symposium on (2008)
Dec. 20, 2008 to Dec. 22, 2008
ISBN: 978-0-7695-3498-5
pp: 712-715
ABSTRACT
A scheme for packaged granary grain quantity intelligent reckoning based on image processing was proposed in this paper. According to the actual scene, the grain bag characteristic outline -- the boundary of the counter-band of light was presented and taken as the analysis object. An algorithm combining Canny operator with image morphological thinning are used to extract the outline. Then, a counting algorithm which integrates mode theory and variance analysis technology is presented for the quantity second-judgment. The experimental results indicate 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.
INDEX TERMS
Packaging, Image converters, Computational intelligence, Computer science, Sun, Image processing, Layout, Analysis of variance, Data mining, Competitive intelligence
CITATION

Y. Lin and Y. Sun, "Study for Packaged Granary Grain Quantity Intelligent Reckoning," 2008 International Symposium on Computer Science and Computational Technology (ISCSCT), Shanghai, 2010, pp. 712-715.
doi:10.1109/ISCSCT.2008.66
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