image data mining

美 [ˈɪmɪdʒ ˈdeɪtə ˈmaɪnɪŋ]英 [ˈɪmɪdʒ ˈdeɪtə ˈmaɪnɪŋ]
  • 网络图像数据挖掘
image data miningimage data mining
  1. Study on Model and Method of Image Data Mining

    图像数据挖掘模型与方法

  2. Study of Image Data Mining Based on Data Field

    基于数据场的图像数据挖掘研究

  3. Design and development of image data mining software prototype system

    图像数据挖掘软件原型系统的设计与开发

  4. To study the application of fuzzy cluster analysis for medical image data mining .

    研究模糊聚类分析在医学图像数据挖掘中的应用。

  5. The Research of Image Data Mining

    图像数据挖掘之研究

  6. Correlative Rule of Image Data Mining in Multimedia Data Mining

    多媒体数据挖掘中图像数据的关联规则挖掘

  7. Meanwhile , the features , categories and preprocessing using association rules for image data mining are summarized .

    介绍了图像数据关联规则挖掘的最新进展,总结了图像数据关联规则挖掘的特点、类型及图像数据预处理的技术方法。

  8. The architecture includes all the steps of image data mining , and can mine the association rules of texture image . 2 .

    该方法体系涵盖了图像数据挖掘的各个环节,能够较充分挖掘出纹理图像中的关联规则。

  9. Remote sensing image data mining isn 't only the applications of image mining in the field of remote sensing , but also a important embranchment of the spacial data mining .

    遥感图像数据挖掘(remotesensingimagemining,(ReSIM))技术不仅是图像挖掘技术在遥感领域的应用,也是空间数据挖掘技术的一个重要拓展分支。

  10. It expatiates on the main idea of data field and tries to make some useful attempts in Information Token of Thinking in Images by an application of data field in image data mining .

    此外,阐述了数据场的主要思想并从数据场在图像数据挖掘中的应用出发,试着对形象思维的信息表征作了一些有益的尝试。

  11. Image data mining provides a new method for acquiring knowledge for intelligent image processing based on knowledge . An experiment frame of image ( remote sensing image ) data mining software prototype system is introduced , and the methods for designing and developing the system are expounded .

    提出了图像数据挖掘软件原型系统的设计与开发的试验框架,阐述了其设计与开发方法,介绍了各个模块的功能、设计与开发情况。

  12. Based on this conception , ground-object spectra database , remote sensing image database , data mining technology have been studied , while spatial data mining and image data mining technology are focused .

    并以此为切入点,对国内外地面光谱数据库、遥感影像数据库的发展和研究现状、数据挖掘技术的发展和研究现状,以及空间数据挖掘和影像数据挖掘技术做了深入探讨。

  13. Researches on machine learning began in the early of 1960s . It has been widely applied to pattern recognition , signal processing , image processing , data mining , intelligent control and so on .

    机器学习的研究始于上世纪60年代初,至今已经广泛地应用到模式识别、信号处理、图像处理、数据挖掘和智能控制等方面。

  14. For the sake of dealing with the magnitude and updating quickly remote sensing image data , data mining technology emerging in recent years has become a new technique and method in RS image processing .

    另外,针对遥感图像的数据量大,更新快的特点,近年来兴起的数据挖掘技术为处理这些海量的遥感数据提供了新的技术手段和方法。

  15. It gets complex nonlinear calculation ability by mapping a large number of simple calculations of the neuron model . Therefore , it is widely used in many fields , like pattern recognition , image processing , data mining , signal processing , and automatic control and so on .

    它能通过神经元模型的简单计算复合映射获得复杂的非线性映射能力,因此被广泛的应用在模式识别、图像处理、数据挖掘、信号处理、自动控制等多个领域。

  16. Reform of Teaching Content of Digital Image Process Combined with Data Mining

    结合数据挖掘的数字图像处理教学内容改革

  17. Our proposed CAAR algorithm is applied to supervised classification of image content and large-scale data mining , which is very effective .

    将CAAR分类新技术应用于有监督的图像内容分类学习和大规模数据机器学习取得了很好的效果。

  18. Image mining is more than just an extension of data mining to image domain . It is an interdisciplinary endeavor that draws upon expertise in computer vision , image processing , image retrieval , data mining , machine learning , database , and artificial intelligence .

    图像数据挖掘并不只是数据挖掘在图像领域的简单应用,它是一门包括计算机视觉,图像处理,图像检索,数据挖掘,机器学习,数据库和人工智能等的综合学科。

  19. In the fields of data mining oriented RS image data modeling and feature retrieving , a multi-layer abstract RS image data model for data mining purpose is presented , to provide the rationale for structuring RS image data , building RS image feature database and data warehouse .

    在面向数据挖掘的遥感图像数据建模及特征提取技术方面,提出了遥感图像多层信息抽象数据模型,以作为将非结构化的遥感图像数据结构化、建立遥感图像特征数据库和数据仓库的理论基础。