Optimization and recognition of maize disease image features based on genetic algorithms
In this article,we took the pretreated maize disease images as example,and employed genetic algorithms to choose approximate and effective image features,including relevant information measure,color components b and Cb,color moments,lesion perimeter,shape factor etc as recognition features from many primordial features.The Bayes discriminant analysis results provided by SPSS software show that this method can improve the efficiency and accuracy of the disease image recognition.