摘要
图像挖掘是数据挖掘领域中新兴的领域。随着数字照相技术的发展和在多学科中的广泛应用,对大量图像数据的分析和研究越来越重要。由于图像挖掘的对象、内容不同于传统数据,方法上也不同于传统技术。本文旨在介绍图像挖掘的基本概念和体系以及国际上最新的研究成果。本文回顾了图像挖掘的相关问题及建模框架,并与模式识别、图像处理等相关领域进行了比较,在此基础上,还介绍了近年来图像挖掘领域在卫星遥感、医学影像和生物显微照片研究的相关应用。
Image mining is an emergng field in data mining. Along with the wild use of large scale digital photo technology, it becomes more and more important to devise powerful tools for analyzing tremendous image data and grasping the contents inside. But there is a large gap between traditional data mining and image mining in data formation and content, and the methods and algorithms are also different. In this paper, we focus on illustrating basic concepts and recent applications issues on image mining and the frameworks are reviewed, and then related technologies such as pattern recognition and image processing are discussed. At last, applications of such techniques as satellite photo, medical X-rays, and bio-photomicrography are introduced.
出处
《统计教育》
2008年第12期8-12,7,共6页
Statistical education
关键词
数据挖掘
模式识别
图像处理
data mining
pattern recognition
image processing
