搜索资源列表
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- 基于区域纹理合成的图像修复，图像处理方法-Region-based texture synthesis inpainting, image processing
texture-image-analysis
- 图像的纹理分析应用实例，在vc++平台上实现。可以进行图像纹理提取分析。-Application of texture image analysis, in vc++ platform to achieve. Analysis of image texture can be extracted.
K-mean
- 基于纹理度量的图像分割，适用于遥感图像，主要利用到K-mean算法。-Image segmentation based on texture measurement for remote sensing image, the main advantage of K-mean algorithm.
local-features
- 基于局部累积直方图和纹理特征的图像检索方法-The cumulative histogram and texture based on local features of image retrieval methods
jiyuneirongdetuxiangjiansuo
- 基于内容的图像检索，包括纹理、形状、颜色-Content-based image retrieval, including texture, shape, color
image-retrieval-program
- 基于纹理特征的图像检索程序，运行正确无误，希望对大家有用！-Texture-based image retrieval program, run correctly, and I hope useful!
TFE
- 数字图像纹理特征提取的算法综述以及几种常用算法-Digital image texture feature extraction algorithm and several commonly used algorithms review
lbppdf
- 几篇关于局部二值化模式（LBP）的文章，LBP是检测图像纹理的算法-Several articles on Local Binary Patterns (LBP) of the article, LBP texture detection algorithm is
WB
- 一种新型的图像分割方法，实现对图像的纹理分割，并对边缘平滑。-A new type of image segmentation method to realize image texture segmentation, and on the fringe is smooth.
Classification-OfTheRemoteImage
- 基于纹理及光谱信息融合的遥感图像分类方法研究，硕士论文，有关纹理和遥感图像分类很好的学习素材-Texture and spectral information based on the integration of remote sensing image classification method, master' s thesis, the classification of remote sensing image texture and good learning material
Mathematical_models
- 局部非纹理图像修复模型，外文经典图像修复文献，引用频次很高-Local non-texture image inpainting model, foreign classic image restoration literature, reference high frequency
textureseg
- 用于图像的纹理分割，适合用于图像的纹理分割和图像特征分类，并且是基于MATLAB实现的纹理特征分割。-For image texture segmentation, texture suitable for image segmentation and image feature classification, and is based on the MATLAB implementation of the texture features segmentation.
2008302590151
- 图像的格式转换、几何变换、图像增强、模板匹配、图像分割、纹理特征提取、形态学处理-Image format conversion, geometric transformations, image enhancement, template matching, image segmentation, texture feature extraction, morphological processing
Texture
- 提取图片的纹理特征，通过扫描图像的每一行和每一列，记录不同像素对的个数，构建一个特征矩阵。-Image texture features extracted by scanning the image of each row and each column, record the number of different pixels on to build a feature matrix.
LBP--texture-exration
- LBP算法实现图像的纹理特征提取（局部二值模式）-LBP algorithm feature extraction image texture
image-retrieval-technology-research
- 基于内容的图像检索技术的关键在于特征提取，是利用图像的颜色、形状、纹理、轮廓、对象的空间关系等客观独立的存在于图像中的基本视觉特征作为图像的索引，计算查询图像和目标图像的相似距离，按相似度匹配进行检索。综合国内外研究现状，可将基于内容的图像检索技术分为如下几种类型:基于颜色特征的检索、基于纹理特征的检索、基于形状及区域的检索、基于空间约束关系的检索。-Based on comparing various affine invariant regional basis, selection of
000
- 支持向量机(svM)是一种新的机器学习技术。本文采用一对一方法构建多分类SVM 分类器。利用常用的灰度共生矩阵方法提取图像纹理特征，组成特征向量，输入构建好的SVM 多分类器中进行分类。对从Brodatz纹理库中选取的4张纹理图像进行了分类实验，取得较好的 分类结果-Support vector machine (svM) is a new machine learning techniques. In this paper, one way to build a multi-cla
wenlifenxi
- 描述图像纹理分析的原理方法以及灰度共生矩阵的原理及实现方法-Describe the principle of image texture analysis methods, and GLCM principle and implementation method
feature-exacte
- 本文提出了一种基于特征融合的纹理图像分类方法，它结合了纹理图像的特 点和框架小波变换方法，处理过程中充分考虑了图像各尺度间的依存关系以及不 同频带中所包含的图像纹理信息，利用支撑矢量机作为分类器，对标准纹理库中 的图像进行了仿真实验。 -This paper presents a texture feature fusion based image classification method, which combines the special texture Point
four_p
- 压缩包一共有4个程序，MATLAB编程实现，实现图像分量提取，图像批量格式转换，图像纹理特征提取，拉普拉斯变换。-Compression MATLAB programming package, a total of four programs to achieve the image component extraction, image batch format conversion and image texture feature extraction, the Laplace trans