搜索资源列表
TextureSpectrum256
- 基于纹理谱的图象特征提取程序,用于图象与视频的分析与识别,该算法基于OpenCV.-based on the texture spectrum image feature extraction process for image and video analysis and identification, The algorithm is based on OpenCV.
wavelet_texture
- 用小波变换来分析图象纹理的VC程序，很好用的。可以分析大部分的纹理特征-wavelet transform to analyze the image texture VC procedures, very good use. Can be analyzed most of the texture features
tuxiangchuli_doc+cold
- 所谓基于内容图像的检索是指由图像分析软件对输入的图像先进行图像分析，根据图像中物体或区域的颜色(color)、形状(shape)或纹理(texture)等特征以及这些特征的组合，自动抽取特征，在将输入图像存入图像库的同时将其相应的特征向量也存入与图像库相连的特征库。-so-called content-based image retrieval is by image analysis software on the importation of the first images for ima
Swampy3DModel
- 师兄用VC写的由湿地DEM生成的三维模型，赋有纹理，可以动态漫游，地理分析。希望对搞GIS开发的朋友有所帮助。包含DEM和纹理数据，所以有点大，请耐心下载。-senior VC written by DEM wetlands generated 3D model, endowed with texture, dynamic roaming, geographic analysis. Hope to engage in the development of the GIS friends help
lbp_matlab
- 局部二进制模式ＬＢＰ，介绍了三种不同的ＬＢＰ算子，用于分析图像的局部纹理特征．-local binary mode LBP, introduced three different LBP operator, Image Analysis for the local texture characteristics.
textture2
- 在频域下分析提取纹理特征的代码，希望对大家有用
texture_synthesis
- 基于样本的纹理合成，采取点替换的方法，可以合成brodatz类的纹理。采取的方法是先对图像分析，然后合成。
TextureImageRetrievalBasedonContourletTransformUsi
- Contourlet变换结合了不可分离的方向滤波组,具备小波所不能表达的多方向特性,能有效捕获自然图像的边缘轮廓信息。本文分析了图像ontourlet系数的统计特征,并利用广义高斯函数对各子带系数层进行建模。将此模型应用于基于VisTex的自建纹理图像库,采用矩匹配估计法,提取模型参数集,运用K2L距离计算图像间的相似度。对800幅纹理图像进行检索,本文方法比传统小波方法的平均检索查准率高出约2％到10％不等。实验结果表明,该方法改进了导向纹理的描述
wengli
- 图像的纹理处理分析的完整代码,在VC环境下运行,已经调试通过
TextureAnlysis
- 根据图像四个方向的共发矩阵，求取四个灰度共发矩阵的熵，求熵的均值生成特征矩阵，通过聚类分析实现图像的纹理分割。
wraf-level
- 图像的纹理分析,内容涉及灰度共现矩阵算法实现,计算纹理特征-Texture analysis of images, the content involves the gray level co-occurrence matrix algorithm, to calculate texture feature,,
analysis
- 图像纹理分析 打开文件后进行图像分析获得能量 局部平稳性-Image texture analysis Open the file after image analysis to gain energy local stationarity
LRJPQ
- 这是图像处理中,一种重要的纹理分析算法,通过Gabor变换-This is the image processing, an important texture analysis algorithm, through the Gabor transform
灰度共生矩阵
- 图像处理，灰度共生矩阵。已知被理论证明并且实验显示它在纹理分析中是一个很好的方法,广泛用于将灰度值转化为纹理信息(Image processing, gray level co-occurrence matrix. Known to have been proved by theory, and experiments show that it is a good method in texture analysis, and is widely used to transform gray v
6
- 6 基于净图的多模纹理空域隐写分析6 airspace steganalysis based on net graph of multimode texture analysis(6 airspace steganalysis based on net graph of multimode texture analysis)
GLCM method to extract features
- 实现灰度共生矩阵特征提取，对图像的纹理分析有用。(The gray level co-occurrence matrix feature extraction, useful for image texture analysis.)
GLCM
- 模式识别，纹理分析，灰度共生矩阵，统计图像的灰度共生矩阵进行纹理分析(Pattern recognition, texture analysis, gray level co-occurrence matrix, Texture analysis based on gray level co-occurrence matrix of statistical image)
基于Gabor小波变换的图像纹理特征提取_蓝永
- 这篇论文对于Gabor小波分析的说明特别详细，非常有利于我们理解(This paper is particularly detailed for the descr iption of Gabor wavelet analysis, which is very helpful to our understanding.)
GABOR
- 二维Gabor基函数能够很好地描述哺乳动物初级视觉系统中一对简单视觉神经元的感受野特性。Gabor滤波器对于图像的亮度和对比度变化以及人脸姿态变化具有较强的健壮性，并且它表达的是对人脸识别最为有用的局部特征，故在计算机视觉及纹理分析中得到广泛的应用。波长（λ）方向（θ）相位偏移（?） 长宽比（γ）带宽（b）(The two-dimensional Gabor based function can well describe the receptive field characteristics
独立成分分析
- 独立成分分析方法经常用于图像处理，纹理和平滑的分离。Independent component analysis is often used in image processing, texture and smoothing separation