Study on the Intelligent Recognition Method for the Maturity Grade of Fresh Corn Ear based on Computer Vision

摘要：

　　In order to realize the intelligent recognition for the maturity grade of fresh corn ear,intelligent inspection system was studied based on computer vision,which could automatically complete the collection and handling of ear graphic and the recognition of maturity of the corn ear.Based on the study,a kind of intelligent recognition method was put forward under the graphic of certain frequency domain.An energy chain was established,and the characters of energy spectrum was extracted through the two-dimensional inverse discrete Fourier transformation on the graphics collected.With the above characters,a probabilistic neural network was developed,the accuracy rate of the recognition method could be 96.7%.

关键词： fresh corn ear maturity grade computer vision intelligent recognition neural network

作者: Huihui Wang Yonghai Sun Yan Lv Xueheng Tao Xuejun Wang Jixin Yang

作者单位: Mechanical Engineering & Automation College Dalian Polytechnic University Dalian,China Biological & Agricultural Engineering College Jilin University Changehun,China Information Science & Engineering College Dalian Polytechnic University Dalian,China

会议类型: 国际会议

会议名称: 2013 2nd International Symposium on Computer,Communication,Control and Automation(ISCCCA-13)(2013年第二届计算机、通信与自动化国际会议)

会议地点: 太原

会议语种:英文

页码: 368-371

在线出版日期: 2013-04-06（万方平台首次上网日期，不代表论文的发表时间）