摘要
通过图像块的局部特征生成图像特征的空间分布信息和层次信息,提出了基于相容粒度空间的图像特征分层分类方法.该方法体现了基于粒计算从粗到细对图像进行分类的原理;实验测试说明了所提出方法有效.
The spatial distribution knowledge and hierarchical information of image features were obtained by using local features of image blocks.An approach to hierarchical classification of images based on tolerance granular space was presented,which showed the principle that image classification was done from coarse to fine grained levels based on granular computing.The experiment results showed that the proposed approach was effective.
出处
《河北师范大学学报（自然科学版）》
CAS
北大核心
2010年第1期21-25,35,共6页
Journal of Hebei Normal University：Natural Science
基金
国家自然科学基金(50863003)
江西省重点攻关项目(20061B01002)
关键词
粒计算
相容粒度空间
图像分块
图像特征
图像分类
granular computing
tolerance granular space
image partition
image feature
image classification
