DocumentCode :
2099554
Title :
Research on Edge Detection and Description of Packaged Grain Image
Author :
Lin, Ying ; Fang, Xing-lin ; Sun, Yan-hong ; Sun, Yue-heng
Author_Institution :
Coll. of Manage., Chongqing Jiao Tong Univ., Chongqing, China
Volume :
2
fYear :
2008
fDate :
20-22 Dec. 2008
Firstpage :
708
Lastpage :
711
Abstract :
The technique core of grain reserves automatical supervision and audit system which based on video is to identify the grain warehouse scene video, and accurately gets the sum of grain quantity. The key to identifying the quantity is the shape of package, and the key to identifying shape is processing and describing the boundary of package. Based on a lot of research and experiment on the edge detection operators, this article select the canny operator and chain code to process and describe the boundary of package. Aiming at the boundary is not absolute connectivity, the closure operation of Mathematical Morphology is introduced to do pretreatment on binary image of packaged grain. Finally the boundary is absolute connectivity. Experiments show that the proposed method enhances the anti-jamming and robustness of edge detection, and satisfy precision request of packaged grain quantify recognition.
Keywords :
edge detection; mathematical morphology; video signal processing; absolute connectivity; anti-jamming; audit system; automatical supervision; binary image; canny operator; chain code; edge detection; grain warehouse scene video; mathematical morphology; packaged grain image; Computer science; Educational institutions; Image analysis; Image edge detection; Morphology; Packaging; Pixel; Robustness; Shape; Sun; Mathematical Morphology; chain code; edge detection; packaged grain; quantity recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Computational Technology, 2008. ISCSCT '08. International Symposium on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-3746-7
Type :
conf
DOI :
10.1109/ISCSCT.2008.72
Filename :
4731721
Link To Document :
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