摘要
图像挖掘是一个新兴的具有挑战性的研究领域,同时它作为数据库和信息决策等领域的一个前沿分支近年来受到人们的关注。首先研究了图像挖掘的特性,提出了几个不同于传统数据挖掘的图像挖掘特性,然后对图像挖掘的总体过程和主要模型进行了分析,并对图像挖掘的主要技术进行了讨论。在此基础上,对目前图像挖掘的应用情况进行了分析和讨论,最后对图像挖掘的一些问题及未来的发展进行了展望。
In recent decade,image mining is an emerging and challenging research field which is one of utmost front-line researching orientations for database and information decision-making field internationally. This paper firstly studied the characteristics of image mining, and proposed some of them differentiating from the traditional data mining. And then, it analyzed the general process and the main modeling, and discussed the main technology of image mining. On this basis some application in the above area of study were analyzed and discussed. Finally, the disadvantages and development trend of image mining were presented.
出处
《计算机科学》
CSCD
北大核心
2009年第8期30-34,58,共6页
Computer Science
基金
辽宁省自然基金项目(20072156)
辽宁省教育厅科学技术研究项目(20060486)
辽宁"百千万人才工程"培养经费
南京邮电学院图像处理与图像通信江苏省重点实验室开放基金(ZK207008)资助
关键词
图像挖掘
模型
特性
信息
Image mining, Modeling, Characteristics, Information