摘要
采用 BP神经网络模型 ,研究了真彩色秧苗图像分割的神经网络方法。选取训练样本图像 ,以人工分割后的图像结果为导师信号 ,将图像的特征向量采用 BP算法进行训练 ,获得有效的网络权值。以玉米秧苗图像为实例进行训练和图像分割 ,实验结果表明 ,BP网络能够获得较好的分割效果。该研究为进一步的秧苗图像处理奠定了基础。
The neural network method for segmenting the true color of seedling image was studied. The adapted network is BP model. The feature vectors of image were obtained through analysis and experiments. In the network, the inputs are feature vectors of seedling image, the teacher signal is the image result of manual segmentation and BP algorithm is used. The effective parameter was achieved after a lot of training. The experimental results show that the segmentation of BP network method can gain better effect. This study establishes foundation for further seedling image processing.
出处
《农业工程学报》
EI
CAS
CSCD
北大核心
2001年第3期146-148,共3页
Transactions of the Chinese Society of Agricultural Engineering
关键词
BP神经网络
秧苗
图像分割
特征向量
BP neural network
seedling
image segmentation
feature vector
