The Diagnosis of Cucumber Disease Based on Image Recognition

摘要：

A new method of diagnosis cucumber leaf disease based on computer image recognition is studied to improve cucumber disease diagnosis accuracy and efficiency. At first, vector median filter was applied to remove noise of the acquired color images of cucumber disease leaf. Then texture color features of color image of cucumber disease spot on lcaf were extracted, and recognition method of SVM for diagnosis of cucumber disease was used. Experimental results indicate that SVM has xcellent learning and generalization ability in solving learning problem with small training set of sample, the diagnosis performance by SVM is recognized more correct and faster, which is better than that of neural networks. The liner kernel function is most suitable diagnosis for cucumber disease based on color texture through the comparison of different kernel functions.

关键词： Cucumber disease Image recognition Support Vector Machine

作者: TIAN Youwen LI Tianlai

作者单位: College of Information and Electric Engineering, Shenyang Agricultural University, P.R Chian, 110161 College of Horticulture, Shenyang Agricultural University,P.R Chian, 110161

会议类型: 国际会议

会议名称: 2008 International Conference on IAEA(2008农业信息化、自动化与电气化国际会议)

会议地点: 镇江

会议语种:英文

页码: 629-632

在线出版日期: 2008-11-01（万方平台首次上网日期，不代表论文的发表时间）