搜索资源列表
extractFeatures.zip
- 图像特征提取,包括:颜色直方图,颜色矩,边缘直方图,Gabor小波变换,局部二值图,GIST。,Image feature extraction, including: color histogram, color moment, the edge histogram, Gabor wavelet transform, partial binary image, GIST.
gist
- 使用gist对图像进行聚类,并选出iconic image-Gist of the images using clustering and select the iconic image
graph-hashing
- 图像的谱哈希算法,输入图像,然后提取图像的gist特征,经过谱哈希算法,产生哈希序列-Spectral image hash algorithm, the input image, and then extract the image of the gist features through spectral hash algorithms produce hash sequence
Gist-Retrieval
- gist特征用于商品图像检索,其为全局特征,检索效果非常好。-GIST feature is used to realize image retrival it performs very well.
gistGabor
- 构造gist滤波器,可以用于图像特征提取-Constructed gist filter can be used for image feature extraction
GIST_matlab
- 提取GIST特征的matlab实现源码,初学者实用-Extract GIST features matlab achieve source beginners practical
GIST_C_linux
- 提取GIST的C代码,开发环境为Linux,试验已成功-Extract GIST C code, development environment for Linux
lear_gist-1.1
- GIST特征提取源代码,需要安装fftw插件-The GIST feature extraction source code
extractFeatures
- Feature extraction for image retrieval: This software extracts the four kinds of features, 1. Color histogram, color moments 2. Edge histogram 3. Gabor wavelets transform 4. Local Binary Pattern 5. GIST -Feature extraction
lear_gist-1.2
- 图像特征提取 gist feature,限mac/linux平台-Image feature extraction gist feature, limit mac/linux platform
hezhuchengfenxi-gist-kpca
- 它通过对原始数据的加工处理,简化问题处理的难度并提高数据信息的信噪比,以改善抗干扰能力。-It does this by processing the raw data, simplifies the problem and improve the signal to noise ratio of the data processing of information in order to improve anti-jamming capability.
decriptors
- 看的国外会议文章提取的EEG的三个视觉描述子(sift,phog和gist)-sift phog gist
image-classification-(2)
- 本文介绍了基于libsvm的图像分类技术,分别提取图像的gist和phog特征-This article describes the gist and phog feature-based image classification techniques libsvm were extracted image
gistdescriptor
- 此为matlab版的gist特征提取,亲测可以直接运行-This is the gist of feature extraction matlab version, pro-test can be run directly
sceneComplete
- Scene completion.This is a toy implementation of Scene Completion Using Millions of Photographs for 6.870 Object Recognition and Scene Understanding.-This implementation uses a of 54,000 256x256 images the Oliva lab for which we already have gist-b
feature-extraction-master
- 特征提取工具包,包含color、gist、hog、sift、lbp、ssim等特征,比较好用-Feature extraction toolbox containing color, gist, hog, sift, lbp, ssim features, relatively easy to use
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)
bishe
- 提取图像的GIST特征,LBP,HOG,RGB四组特征值(Extracting GIST features of images, LBP, HOG, RGB four sets of eigenvalues)
computer_vision-master
- 图像特征提取,有SIFT、BOW、VLAD、LBP、HOG、FishVector、gist、Metric、colorhist。(Image feature extraction, including SIFT, BOW, VLAD, LBP, HOG, FishVector, gist, Metric, colorhist.)