基于多层次相容粒度的图像分类  

Image Classification Based on Multi-level Tolerance Granulation

作　　者：姚晓昆[1] 邱桃荣[1] 葛寒娟[1] 刘清[1] 王剑[1] 

机构地区：[1]南昌大学计算机系,江西南昌330031

出　　处：《河北师范大学学报（自然科学版）》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)

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.

关 键 词：粒计算 相容粒度空间 图像分块 图像特征 图像分类 

分 类 号：TP39[自动化与计算机技术—计算机应用技术]