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