摘要
讨论了基于图像特征的烤烟烟叶分级系统的建模及其实现 ,给出了烟叶分级模型的数学描述 ,探讨了模型库的优化和特征隶属度及烟叶模式的可信度的计算问题 。
This paper discussed the model and implementation of a tobacco grading system based on image features. We proposed the mathematical description of the grading model, and discussed the optimization of the model base and the calculation of the membership of the features and the confidence of the tobacco pattern. The experimental results shows the performance and efficiency of the FTGS.
出处
《武汉大学学报(信息科学版)》
EI
CSCD
北大核心
2003年第3期359-362,共4页
Geomatics and Information Science of Wuhan University
关键词
图像识别
模糊分类
隶属度
可信度
image recognition
fuzzy classification
membership
confidence