Chapter

QUANTITY INTELLIGENT RECKONING FOR PACKAGED GRANARY GRAIN BASED ONIMAGE PROCESSING

06/2009; DOI:10.1007/978-1-4419-0211-5_38 pp.1115-1123

ABSTRACT 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.

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Keywords

characteristic outline
 
dual-threshold Canny operator
 
effective method
 
grain quantity detection
 
image processing
 
integrates mode theory
 
morphology processing method
 
quantity intelligent reckoning approach
 
quantity second-judgment
 
variance analysis technology
 

Ying Lin