摘要
粒计算作为一种新的信息和知识处理方法,近年来在许多领域中得到了应用。本文在学习和研究粒计算基本理论与技术的基础上,将其应用于图像模式识别领域。通过分析研究不同粒度的特征信息粒所形成的图像特征信息粒格结构,提出了基于图像特征信息粒格的分类器。
Granular computing is a new information processing method. Many models and methods of granular computing have been proposed and studied, and it has been applied in lots of fields. On the basis of studying the fundamental principles and techniques of granular computing , the concerned knowledge is applied in image pattern recognition in the paper. A classifier based on the image feature information granules is presented in the paper by analyzing and studying the image feature information＇s granular structure of different granularities.
出处
《计算机工程与科学》
CSCD
北大核心
2009年第3期49-51,57,共4页
Computer Engineering & Science
关键词
粒计算
特征信息粒
图像
图像分类
granular computing
feature information granule
image
image classification
