期刊名称：International Journal of Signal Processing, Image Processing and Pattern Recognition
印刷版ISSN：2005-4254
出版年度：2016
卷号：9
期号：11
页码：181
出版社：SERSC
摘要：The maize seeds recognition is an important aspect of the seed quality testing and breeding. With the development of computer technology, it is an inevitable tendency to recognize seeds varieties and inspect quality using machine vision instead of human vision. For the characteristics of maize seeds and their images, seeds varieties recognition technology and algorithm was studied and explored in depth and their shape and color feature parameters were extracted. Based on 4 species including Nongda 108, Zhengdan 958, Ludan 981 and Jingdan 28, the classifier was designed using BP neural network to do varieties recognition testing. Research showed the average recognition accuracy was more than 94.5%, and that recognition and detection of maize seeds varieties based on the image technology is feasible.
关键词：Maize; Image processing; Feature extraction; BP neural network
