搜索资源列表
SPM_SC
- This package contains the Matlab codes implementing the ScSPM algorithm described in CVPR 09 paper Linear Spatial Pyramid Matching using Sparse Coding for Image Classification .基于空间金字塔匹配的稀疏编码,用于图像检索,识别与分类-This package contains the Matlab codes im
x_DWT_retrieval
- 该程序是用于小波变换得到小波系数,然后利用小波系数进行特征提取,最后利用特征进行图像检索。-This code is the use of wavelet transform to extract features, and then image retri .
CurveletPwatermarkPretrieval
- 该代码是利用曲波变换并对图像添加水印,然后进行图像检索-The code is used to transform the curve and add a watermark to the image, and then the image retri
sift-matlab
- SIFT特征提取源代码,图像检索特征提取技术,提取图片SIFT特征-SIFT feature extraction
contena
- 图像检索的一个检索算法基于内容,不错的源码 不错的-A retri algorithm of image retri based on content, good source of good
inreractiveimage
- 基于神经网络短期交互式学习的图像检索程序 算法是源于一篇博士论文-Based on neural network short-term interactive learning image retri algorithm is stems a doctoral dissertations
pudentheses
- 基于颜色的图像检索系统源代码,与大家共享 不错的源码-Based on color image retri system source code, and Shared good source
search
- 图像检索,根据特定图片,检索图片库內似图片;所用算法为sift算法和GH数算法。-Image retri , according to a specific picture, retrieve pictures like pictures used algorithm for the sift algorithm and GH number algorithm.
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
cnn-cbir-benchmark-master
- python语言,使用卷积神经网络的特征做图像检索(image retrieval using CNN)
CNN for Image Retrieval Using MatConvNet.tar
- 使用深度学习框架-MatConvNet实现图像检索(Code for image retrieval using MatConvNet (a popularDeep Learning framework))
gistdescriptor
- gist描述子 用于图像处理 图像检索 图像预处理领域 具有很好的性能(GIST descr iptor Gist descr iptor is used in image processing, image retrieval and image preprocessing It has good performance)
ADOImageDB_src
- 图像数据库,C++实现的ADO数据库,用于图像的数据库检索(Image database, C++ implementation of the ADO database)
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
caffe-cvprw15-master
- 基于深度学习框架构建用于快速图像检索的二值哈希编码(Construction of binary hash codes for fast image retrieval based on depth learning framework)
RZCNKLL
- 用C++构造的最优二分检索树,是学习算法的很好参考()
Tamura
- 基于人类对纹理的视觉感知的心理学的研究,Tamura等人提出了纹理特征的表达。Tamura纹理特征的六个分量对应于心理学角度上纹理特征的六种属性,分别是粗糙度(coarseness)、对比度(contrast)、方向度(directionality)、 线像度(linelikeness)、规整度(regularity)和粗略度(roughness)。其中,前三个分量对于图像检索尤其重要。(Based on the study of human psychology for visual perc
code
- 该文件是用于图像检索的demo,主要利用sift描述子提取特征进行匹配,在“Query by example” 数据库中运行效果良好。(The file is used for image retrieval demo, mainly using sift descr iptor to extract features and match it in the "Query by example" database.)
Gistcbir
- 采用Gist算法提取图像特征,采用欧式距离进行相似度计算,返回相似性图像。完整的GUI界面,完整的图像库 注意;根据需要调整图像根目录。(Gist algorithm is used to extract image features, and Euclidean distance is used for similarity computation, and the similarity image is returned. Complete GUI interface, complete
CBIR
- 基于内容的图像检索,能搜索相似图像。基于颜色,形状和纹理的图像检索。(Content based image retrieval can search similar images. Image retrieval based on color, shape and texture.)