搜索资源列表
gaborcreate
- 该代码描述了一种用Gar小波进行纹理特征提取方法，可用于图像分析、视频处理、以及模式识别前期建立模式向量。-The code describes a texture with Gar wavelet feature extraction methods can be used for image analysis, video processing, and pattern recognition pre-established pattern vector.
Experiment-One
- VS2010下，通过opencv实现对三类目标的特征提取，包括颜色特征、纹理特征和轮廓特征-Under VS2010, opencv achieved through three types of feature extraction targets, including color, texture and contour characteristic feature
grayfeature
- 使用灰度共生矩阵提取图像的纹理特征，通过提取的特征来表示一副图像，最终每幅图像被表示为51维的一维向量。-Use GLCM texture features extracted image feature extraction is represented by an image, and ultimately each image is represented as a one-dimensional vector of 51 dimensions.
Local-Binary-Patterns
- 局部二进制模式，LBP，是已被用于纹理特征的一个 分类。在本文中，提出了一种基于使用这些功能的方法 检测缺陷图案的面料。在培训阶段，在第一个步骤LBP算子是 施加到无缺陷织物样品，逐个象素和参考的所有的行（列） 特征矢量的计算。那么这个图像被分为Windows和LBP算子是 应用这些窗口的每一行（列）。根据与参考比较 特征向量一个合适的阈值，无缺陷的窗户被发现。在检测阶段中，一个 测试图像被划分成的窗户，并使用阈值时，有缺陷的窗口可以 检测到。该方
(2)
- 图像处理颜色纹理等特征提取的源代码C++的，希望对你有帮助-Color texture image processing feature extraction source code C++, I hope to help you
GaborFeature
- gabor特征提取 ，图像纹理分析 用时更改下图片路径即可-extract gabor feature ， image texture analysis
Image-retrieval
- 小波变换 颜色特征 纹理特征 图像检索 多尺度 复小波理论 -Wavelet transform color texture image retrieval feature multi-scale complex wavelet theory
LBP
- 有关LBP方法的相关英文文献，可以用来纹理分析和分类，特征提取等-the papers about LBP methods, which can be used for feature extraction, texture classification and analysis
bp_network
- 对两种类型的纹理图像，各选取30幅，计算灰度共生矩阵，提取特征向量；构件BP神经网络分类器，用每种类型的前20幅对分类器进行训练，后10幅用来测试分类效果。-Two types of texture image for each select 30 calculated GLCM, extracting feature vectors member BP neural network classifier, before use each type of 20 pairs classifier
lbp
- 来自<Multiresolution gray-scale and rotation invariant texture classification with local binary patterns>,LBP，用于图像的纹理特征分析-From <Multiresolution gray-scale and rotation invariant texture classification with local binary patterns>,LBP, us
ImageRetrieval-master
- CBIR using texture and shape feature
efficientLBP
- efficient LBP Local binary patterns (LBP) is a type of feature used for classification in computer vision. LBP is the particular case of the Texture Spectrum model proposed in 1990.[1][2] LBP was first described in 1994.[3][4] It has since been found
ImageFeatureTool
- 本软件是图像特征提取软件，对图像纹理、形状、颜色进行提取。-This software is an image feature extraction software, image texture, shape, color extraction.
ASM-2.2.1
- 对模型特征点周围的纹理信息进行采样，对比图像和模型训练集的纹理，找到纹理最接近的点即认为是特征点。作者这里比较纹理的工具是马氏距离。为了提高搜索的效率，作者还提到了多分辨率搜索周围像素纹理，对于粗糙的尺度，搜索范围大，对于细致的尺度，进行细致的搜索，提高了匹配的效率。-The texture information model feature points around the sampling, texture contrast image and model train sets, find
Edit68CMU_pack_AAM
- 基于 AAM 的人脸特征定位方法在建立人脸模型过程中，不但考虑 局部特征信息，而且综合考虑到全局形状和纹理信息，通过对人脸形状特征和纹 理特征进行统计分析，建立人脸混合模型，即为最终对应的 AAM 模型。-AAM facial features localization method based on face model in establishing the process, not only consider local feature information, and consi
extraction-base-on-color-image
- 彩色图象的特征提取与计算软件设计说明书。说明书中介绍了一些彩色图象的特征提取方法，包括颜色、纹理、特征点的提取，另外还介绍了几种图像分割的方法。-This is a color image feature extraction and calculation software design specification.This paper based on color and texture, methods of extracting feature points, and some imag
gabor
- 利用gabor算法对图像纹理特征提取，并且送入极限学习机中进行学习分类-Use gabor feature extraction algorithm for image texture, and into the ultimate learning machine learning classification
SOQcode
- 彩色图像纹理和色彩特征提取，并用fcm进行分割-Color image texture and color feature extraction, and split with fcm
textureTest3
- 利用fast特征检测，surf等匹配方式对车窗纹理区域进行识别和跟踪，用于嫌疑车辆定位-Using fast feature detection, surf and other matching methods to identify and track the texture of the window region, for the location of the suspect vehicle, etc.
Fused-with-LBP-and-GLCM
- 这是一篇关于图像纹理特征提取的期刊，文中结合了LBP和GLCM两种基本的纹理算法，对于做纹理提取的同学有一定的帮助-This is a feature extraction of images on the image of the journal, the text of the combination of LBP and GLCM two kinds of basic texture algorithm, for the students to do texture extraction