Design and Realization of Grain Seed Quality Testing System Based on Particle Image Processing Technology
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.
particle image recognition segmentation feature extraction
Duan Liying Zhang Genshan Lu Aiqin Chen Weihua Liu Xuning Shi Wei
Department of Computer Shijiazhuang University Shijiazhuang, China Digital Transmit Department Hebei Software Institute Baoding, China
国际会议
杭州
英文
61-65
2012-03-23（万方平台首次上网日期，不代表论文的发表时间）