搜索资源列表
derniere-version-maroc
- In the current decade, we are witnessing a great interest in Content Based Image Retrieval (CBIR) together with a wealth of promising technologies, paved for a large number of new mechanisms and systems. In terms of mechanisms, a strong trend towards
CBIR
- Code for Content based image retrieval
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
jiansuomain.m
- cbir，用颜色直方图来作为特征实行基于内容的图像检索-cbir color discr iptors
tuxiangjiansuo
- 图像检索，以图搜图，cbir，，，特征在一起检索-image retrival
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
ImageRetrieval-master
- CBIR using texture and shape feature
In-this-paper
- Cbir Document inside what is the indexing how it will work and what is k-means clustering and details about it .
FINAL_CBIR_1187556
- CBIR project using shape moment color
M-files
- content based image retri (CBIR). - content based image retri (CBIR).
flbp
- CBIR of brain MR images using Fuzzy Local Binary Pattern
octr-(1)
- Vector quantization (VQ) is one of the lossy data compression techniques[1], [2] and has been used in number of applications, like pattern recognition [3], speech recognition and face detection [4], [5], image segmentation [6-9], speech data
CBIR
- 基于内容的图像检索，使用颜色直方图就行比较，并使用intersection,EMD等距离。-Context-based Image Retri
PCA_Saliency_CVPR2013
- PCA saliency mapping for the image searching - CBIR
0alaya-cheikh2004
- Query by content, or content-based retri has recently been proposed as an alternative to text-based retri for media such as images, video and audio. Text-based retri is no longer appropriate for indexing such media, for several reasons. Firstly
decentbilalawan@gmail.com
- here are some research pappers on content base image retrival(cbir) please check it and please activate my account on the base of upload
CBIR
- 本科毕业设计，基于内容的图像检索,代码齐全，可直接运行-Graduation design, content-based image retri , the code is complete, can be directly run
image-retrieval-master
- 基于内容的图像检索系统（Content Based Image Retri , 以下简称CBIR），是计算机视觉领域中关注大规模数字图像内容检索的研究分支。典型的CBIR系统，允许用户输入一张图像，在图像数据库（或本地机、或网络）中查找具有相同或相似内容的其它图片。本实训的基本功能要求是实现基于视觉特征的图像检索。-Content-based image retri system (Content Based Image Retri , hereinafter referred to as C
FeatureExtraction
- retrieval of images
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)