Identification of crop weed based on image texture features
Jie Zhang1, Fuli Song2, Jiali Tang1
1School of Computer Engineering, Jiangsu University of Technology, Changzhou 213001, Jiangsu, China
2Personnel Division, Henan Radio & Television University, Zhengzhou 450008, Henan, China
By using computer image processing technology, texture features of weed in the corn seedling field are analysed, and then we present an algorithm combining Support Vector Machine (SVM) to form a classifier and promote an improved method of RBF network. The experimental results show that the proposed method is effective.