搜索资源列表
ImageRetrieval-IdeasInfluencesandTrendsoftheNewAge
- 该文发表于08年，研究了近十年来约300篇图像检索论文，涉及主要的经典理论、图像标注并讨论了相关子领域。该文还讨论了如何利用现有的图像检索技术构建现实中图像系统，是一篇不可多得的图像检索综述。-The article surveys almost 300 key theoretical and empirical contributions in the current decade related to image retrieval and automatic image annotat
andtextureofImageSearchSystemandtheachievement
- 该论文具有图像检索功能，基于图像的纹理，形状去达到搜索的目的。运用c++语言编译代码构建系统核心部分。-The paper has an image search function, image-based texture and shape to achieve the purpose of search. Using c++ compiler code build system core.
1212121
- 该论文具有图像检索功能，基于图像特征有形状，纹理，颜色等。运用c++语言构建搜索系统的基础，以达到功能全面的系统。-The paper has an image search function, image features are based on shape, texture, color and so on. Built using c++ language based search system to achieve full-featured system.
WEBtechnology
- 研究论文基于WEB环境与MATLAB技术的图像检索系统的实现-Research papers based on WEB technology, environment and MATLAB Image Retrieval System
Gray-based-image-retrieval-system
- 基于图像灰度的图像检索系统。论文可用，有界面有源码-Gray-based image retrieval system. Papers available, there are a source interface
CBIR
- 几篇比较重要的基于内容图像检索论文，系统介绍CBIR技术-CBIR technology content-based image retrieval papers, the system introduces a few more important
ICIMCSp1
- 论文实现了一个基于压缩域中的面向个人兴趣的图像检索系统。ICIMCS2013-Paper implements a compression-based domain for individuals interested in image retrieval system. ICIMCS2013
CBIR
- 基于SIFT算法的图像检索系统，有方便的图形交互界面和完善的提示体系，内有相关小论文和使用说明（readme.txt）-SIFT algorithm based image retrieval system, has a convenient graphical interface and perfect the prompt system, there are related small papers and instructions (readme.txt)
CBIR-system
- 随着计算机科技的发展，图像检索的应用也越来越成熟，根据检索性质可分为两类：基于文本的图像检索和基于内容的图像检索。本论文通过研究基于内容的图像检索中的几个核心算法，用于聚类分析的K-means算法，通过haar小波变换来提取图像底层视觉特征，以及使用F-范数理论来进行相似性度量，来设计一个离线的图像检索系统。(With the development of computer technology, the application of image retrieval is more and mo