DocumentCode :
1899776
Title :
Design and Realization of Grain Seed Quality Testing System Based on Particle Image Processing Technology
Author :
Liying, Duan ; Genshan, Zhang ; Xuning, Liu ; Wei, Shi ; Aiqin, Lu ; Weihua, Chen
Author_Institution :
Dept. of Comput., Shijiazhuang Univ., Shijiazhuang, China
Volume :
3
fYear :
2012
fDate :
23-25 March 2012
Firstpage :
61
Lastpage :
65
Abstract :
How to quickly and accurately identify the quality of grain seed, grain type and other basic indicators and improve the efficiency of breeding quality, wheat production and quality in the work of selection or breeding have become a serious problem. The project developed the necessary software and hardware detection device platform, carried out research on the segmentation and counting algorithms of particle images for the system, and designed and implemented image processing techniques based on particle quality grain seed of the determination system. The result of the research has broad application prospects.
Keywords :
crops; image segmentation; production engineering computing; quality control; breeding quality; counting algorithms; determination system; grain seed quality testing system; grain type; hardware detection device platform; image processing techniques; image segmentation; particle image processing technology; particle images; particle quality grain seed; software detection device platform; wheat production; work quality; Adhesives; Algorithm design and analysis; Atmospheric measurements; Corrosion; Feature extraction; Image segmentation; Particle measurements; feature extraction; image recognition; particle; segmentation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Electronics Engineering (ICCSEE), 2012 International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4673-0689-8
Type :
conf
DOI :
10.1109/ICCSEE.2012.202
Filename :
6188066
Link To Document :
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