[1]吴涛 秦昆 尹宁 肖启芝.图像纹理特征数据挖掘软件原型的设计与实现[J].计算机技术与发展,2007,(08):19-22.
　WU Tao,QIN Kun,YIN Ning,et al.Design and Development of Image Texture Feature Data Mining Software Prototype System[J].,2007,(08):19-22.
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图像纹理特征数据挖掘软件原型的设计与实现()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2007年08期
页码:
19-22
栏目:
智能、算法、系统工程
出版日期:
1900-01-01

文章信息/Info

Title:
Design and Development of Image Texture Feature Data Mining Software Prototype System
文章编号:
1673-629X（2007）08-0019-04
作者:
吴涛1; 2 秦昆1 尹宁1 肖启芝1
[1]武汉大学遥感信息工程学院[2]湛江师范学院信息科学与技术学院
Author(s):
WU Tao;  QIN Kun;  YIN Ning ; XIAO Qi-zhi
[1]School of Remote Sensing Info. Eng. ,Wuhan Univ.[2]School of Info. Sci. and Tech., Zhanjiang Normal Univ
关键词:
图像数据挖掘; 纹理分析; RSImageMiner; 关联规则
Keywords:
image data mining;  texture analysis; RSImageMiner;  association rule
分类号:
TP311.52
文献标志码:
A
摘要:
为了实现图像处理与分析的自动化、智能化,把数据挖掘引入到图像处理与分析领域,针对图像纹理数据的特点,在深入研究数据挖掘软件的基础上,提出了一种图像纹理特征数据挖掘的理想的系统结构;介绍了基于图像（遥感图像）数据挖掘的软件原型系统RSImageMiner中图像纹理特征数据挖掘模块的各子功能模块的设计与实现;并以图像纹理分割为例,给出实验结果及分析。实验表明,该软件原型能得到较满意的图像纹理特征,并能有效地指导图像处理与分析
Abstract:
For the intelligence and automatization of image processing and analyzing, data mining is introduced into image processing and analyzing. Aimed at the characteristic of image texture data, based on the indepth studies for data mining software, a novel ideal model of image texture feature data mining system was designed; each subsystem of image texture data mining module in RSImageMiner was designed and developed; then with examples of image segmentation, the result and some analysis of experiment are listed. And it suggests that preferable image texture features could be produced, and these features could guide image processing and analyzing effectively

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　SHU Jian,HU Mao-lin.Detection of Defect Based on Texture of Markov Random Field Model[J].,2006,(08):65.
[2]仝卫国,刘士波,孙艺萌. 基于链码和纹理分析的输电线断股检测[J].计算机技术与发展,2016,26(11):139.
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备注/Memo

备注/Memo:
973计划资助项目（2006CB701305）;国家自然科学基金资助项目（40523005,50379048）;地理空间信息工程国家测绘局重点实验室开放基金资助项目吴涛（1980-），男，湖北汉川人，硕士，研究方向为数据挖掘、图像处理；秦昆，博士后，研究方向为数据挖掘、空间分析、图像理解
更新日期/Last Update: 1900-01-01