关键词: 杂草识别, 图像分割, 神经网络, Bayes理论

Abstract:

Optimizing weed image segmentation algorithm is being encouraged by concern over reducing identification errors in weed control system.A novel weed image segmentation algorithm based on neural network is proposed.The vegetable and background pixels probabilities in RGB color space are first got from training set.And then the BP neural network is trained by the optimization segmentation curve surface that is established with Bayes formula.All colors are divided into two parts with the BP neural network and each image is segmented with them.Compared with other three segmentation methods the results for the BP neural network show that the segmentation errors are reduced and the neural network is good generalization because of depending on colors instead of pixel and building optimization segmentation curve surface with them.

Key words: weed identification, image segmentation, neural network, Bayes formula