搜索资源列表
Local_feature
- 图像处理，图像检索，模式识别，机器学习，用于进行模式识别和机器学习的一个关于特征值的详细描述，包括各种图像处理技巧-Image retrieval, machine learning PPT, image processing for pattern recognition
google
- GOOGLE的图像检索程序，应用MATLAB编写，简单易懂，适用于初学者-GOOGLE image retrieval procedures, using MATLAB to prepare, easy to understand for beginners
proj_visahim
- Content based image retrieval using color histogram and shape
CBIR
- Code for Content based image retrieval
Mathworks-cbir
- CBIR Content Based Image retrieval
sift3
- 本代码用opencv实现了提取图像SIFT特征向量，并将结果保存到了txt文档中，对于之后实现图像分类、图像检索有很大帮助！-This code extraction with opencv image SIFT feature vectors, and save the results to a txt document, after the realization for image classification, image retrieval great help!
hist
- 该代码使用opencv显示一系列图像的直方图，对于利用颜色直方图进行图像分类、图像检索有很大的帮助！-The code uses opencv histogram display a series of images, the use of color histogram for image classification, image retrieval great help!
code
- Gabor wavelet Image retrieval
sift
- 基于内容的图像检索的sift特征提取的相关代码的压缩文件-Content-based image retrieval sift feature extraction of the relevant code of compressed files
fMeasure
- f_measure for evaluation of image retrieval
3Semantic-content-analysis-and-annotation-of
- the demand for automatically recognizing and retrieving medical image for screening,reference and management is growing faster than ever.In this paper present an intelligent content based image retrieval system called I-Browsewhich integrate both ico
CBIR
- 基于综合特征的图像检索系统程序，直接打开Run.m后运行， 先选待匹配图片，在输入权重，默认文件路径在Pic文件夹下.-Content-Based Image Retrieval System
cbir1
- 基于内容的图像检索，cbir，提取特征，用向量距离作为衡量-cbir content based image retrieval
CBIR
- Content based image retrieval with relevance feedback tree.
CONTENT-BASED-RETRIEVAL-FROM-IMAGE-DATABASES-CURR
- We review recent advances in image retri . The two fundamental components of a retri system, representation and learning, are analyzed. Each component is decomposed into its constituent building blocks: features, feature representation, and sim
Image-retrieval-system
- 本软件的开发是为实现用户上传一张图片后，从已有的数据库里查找出相似的图片反馈-The software development is to achieve the user upload a picture, the existing to find out the similar picture feedback
Building-height-Retrieval
- 根据SAR图像推出建筑物的高度,里面有具体的算法，是篇很好的文章-Building height based on SAR image
Hash
- 基于均值哈希和离散余弦哈希技术，可用于图像检索(Image retrieval based on hash)
GongSheng
- % 图像检索——纹理特征 %基于共生矩阵纹理特征提取，d=1,θ=0°,45°,90°,135°共四个矩阵 %所用图像灰度级均为256 %参考《基于颜色空间和纹理特征的图像检索》(% image retrieval - texture features % based on co-occurrence matrix texture feature extraction, d=1, theta, =0 degrees, 45 degrees, 90 degrees, 135 degrees
CBIR
- 一个简单的图片检索系统,包含可视化界面，可以实现灰度化和基于颜色特征的检索(A simple image retrieval system, including visual interface, you can achieve grayscale and color based feature retrieval)