摘要
通过对不同着色等级的水果分析 ,以各色度在水果表面分布的分形维数为特征进行分级 ,该特征值不仅考虑了各色度点的累计特性 ,而且考虑了色度点空间分布特性 ,使颜色分级更符合实际情况。将各色度域分形维数作为模式处理 ,建立了人工神经网络识别模型。学习后的模型分级正确率高 ,达到 95 % 。
By analysis of different hues of fruit, and according to fractal dimension of chroma distribution on superficies of fruit, the classification of fruits was carried out. The eigenvalues including both the accumulative characteristics and space distribution characteristics of various hue points make the hue classification corresponding to the practical situation. The identifying model of artificial neuron network was built when the fractal dimension in every hue area was considered as pattern and then was processed. After studying, the accuracy of classification reached 95%, which can meet the requirement of real time production line for the classification of fruits by computer vision.
出处
《农业工程学报》
EI
CAS
CSCD
北大核心
2002年第2期141-144,共4页
Transactions of the Chinese Society of Agricultural Engineering
关键词
水果分级
颜色
分形
分形维数
计算机视觉
classification of fruit
colour
fractal
fractal dimension
computer vision