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.
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.
Automatic_Fingerprint_Authentication_System
- A novel texture-based Automatic Fingerprint Authentication System (AFAS) is proposed. A fingerprint image is preprocessed to enhance the image by Short Time Fourier Transform (STFT) analysis. Then, three sets of invariant moment features, as a kind o
MCA 形态学成分分析
- 形态学成分分析，该方法的基本思想是利用信号组成成分的形态差异，将图像分割为纹理和分片光滑部分。-Morphological Component Analysis，The basic point is that an image can be divided into texture and piecewise smooth parts by the morphological diversity among signal components.
MCA
- 形态学分量分析 将图像分为纹理和平滑两部分 直接可以运行-Morphological component analysis for texture and smooth， the image is divided into two parts, can run directly
duo-te-zheng
- ：该文把局部三值模式(Local Ternary Patterns, LTP)纹理特征引入Mean Shift 跟踪算法，提出了基于多 特征的Mean Shift 人脸跟踪算法以解决Mean shift 跟踪算法的鲁棒性问题。通过对LTP 纹理特征的分析、研究， 提出了一个LTP 关键纹理模型，既增强了目标的关键纹理信息，又简化了LTP 纹理模型。在此基础上，提出一 种基于LTP 关键纹理特征和肤色特征的Mean Shift 人脸跟踪算法，有效地解决了Mean Shift 算法的鲁棒
experiment2_W_sizeofsmoke
- 基于共生矩阵的物体、人像、烟雾的纹理特征分析对比-Co-occurrence matrix-based objects, Portrait, smoke texture feature analysis and comparison
vision
- 本书内容包括图像预处理、图像分别、形状表示与描述、物体识别与图像理解、三维视觉、图像压缩、纹理描述、运动分析以及实际应用的案例研究等等。是由艾海舟,武勃等译的图像处理分析与机器视觉一书的中文版。-The book includes image preprocessing, image, respectively, express and shape descr iption, object recognition and image understanding, three-dimensiona
textureanalysis
- 主要是实现了图像的纹理分析，是这方面的一个很好的例程；-Is the realization of the texture image analysis, is this a good routine
SimImage_beta01
- 基于图像内容的视觉相似搜索引擎,自动分析图像中的颜色、纹理、形状、空间特征等 作为搜索的关键数据，通过特定算法搜索相似的图片。-The visual image content-based similarity search engine, automatic analysis of images in color, texture, shape, spatial characteristics of the critical data as a search through a parti
DSD
- 数学形态学(Mathematical Morphology)诞生于1964年，是由法国巴黎矿业学院博士生赛拉(J. Serra)和导师马瑟荣，在从事铁矿核的定量岩石学分析及预测其开采价值的研究中提出“击中/击不中变换”， 并在理论层面上第一次引入了形态学的表达式，建立了颗粒分析方法。他们的工作奠定了这门学科的理论基础， 如击中/击不中变换、开闭运算、布尔模型及纹理分析器的原型等。数学形态学的基本思想是用具有一定形态的结构元素去量度和提取图像中的对应形状以达到对图像分析和识别的目的。-Mathem
615498514
- 表面缺损检测对保证产品的使用性能、完整性和安全性具有重要意义 本文将表面 缺损类型总结为结构缺损、几何缺损、颜色缺损和纹理缺损等几类，并进行特征分析。在此基础上，从基于灰度特征、形态特征、色度特征和纹理特征等几方面对表面缺损的图像检测方法进行综-Surface defect detection products to ensure the use of performance, integrity and security will be of great significance to t
MCA
- morphological component analysis for image cartoon- texture decomposition in matlab
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)
织构程序
- 用于解织构下的雷诺方程，用于在表面价织构的油润滑轴承(The Reynolds equation for texture analysis is applied to oil lubricated bearings on surface texture.)