搜索资源列表
lbptest
- lbp算子的计算，可用于纹理特征，人脸识别等模式分类用途-The lbp operator calculation can be used for the texture features, face recognition, pattern classification purposes
T_Features
- 使用OPENCV实现的Tamura纹理特征，基于灰度共生矩阵的纹理特征-Use the OPENCV to achieve Tamura texture features based on GLCM texture features
TextureTamura
- Tamura纹理特征提取程序。Tamura纹理特征的六个分量对应于心理学角度上纹理特征的六种属性，分别是粗糙度（coarseness）、对比度（contrast）、方向度（directionality）、 线像度（linelikeness）、规整度（regularity）和粗略度（roughness）。-Tamura texture feature extraction procedures. Tamura texture features six components correspondin
texture
- 用简单的c语言实现opengl的纹理贴图功能，包含颜色，亮度等数据-The opengl texture mapping with a simple c language features, including color, brightness and other data
Textural-Features-for-Image
- Textural Features for Image Classification-Texture is one of the important characteristics used in identifying objects or regions of interest in an image, whether the image be a photomicrograph, an aerial photograph, or a satellite image. This
Image-retrieval
- 采用小波变换，利用小波系数，作为图像纹理特征的检索。并采用欧式距离，将最相似的图像，按序排列下来-The wavelet transform using the wavelet coefficients as the retrieval of image texture features. And Euclidean distance, the most similar images in descending order down
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- 乳腺癌的发病率在女性癌症中占据首位，开展乳腺癌的诊断和防治研究具有重要的科学意义和临床实用价值。 文中主要研究的是对超声图像进行分析，对其灰度和纹理特征提取进行研究，并在特征选择阶段使用类间距对单个特征的分 类能力进行评价，为后续研究计算机辅助诊断系统奠定一个初步基础。 -Extraction of Gray and Texture Features based on Ultrasonic Image of Breast Cancer
SVM-based-image-classification
- 基于SVM的图像分类，由于支持向量机的分类能力极大地依赖于核参数的选取，因此，本文着重研究了核参数选择方法，并利用不同的颜色、纹理特征对图像进行分类。 -SVM-based image classification, the classification capability of SVM kernel parameters greatly depend on the selection, therefore, this paper focuses on the kernel paramet
CVPR_Sharp1250
- 一片2007年cvpr上的文章，主要讲的是关于视频中目标的跟踪，主要运用的外观的纹理特征。-A the article on cvpr 2007 mainly about goal tracking on the video, the main use of the appearance of texture features.
Facial-Feature-Tarcking
- 研究优化人脸特征提取问题，针对长期以来在不贴标记点的情况下用传统的光流、Snake、可变模板等方法对纹理特征变化大的特征点不能有效跟踪，并且解决单独采用Gabor 小波系统开销大等问题，为了在人脸图像中提取准确信息，提出了人脸特征点的跟踪方法，分组采用改进的光流法和弹性图匹配的方法进行特征点跟踪。对眼睛、眉毛、上下眼皮等14 个表 情变化不大的特征点使用光流法进行跟踪，最后对变化大的嘴部8 个特征点运用Gabor 小波的弹性图匹配方法进行仿真。-Gabor wavelet research
GaborTextureFeature
- 利用Gabor提取图像的纹理特征用于图像检索。-Gabor extract image texture features for image retrieval.
CBIR_texture
- CBIR系统中采用的tamura纹理特征计算程序-Tamura texture features used in CBIR system calculation program
gray-matrix
- 用matlab编写的关于灰度共生矩阵的源代码，对于纹理特征的研究有重要意义。-Written using matlab the GLCM source code is important for the study of texture features.
Texture1
- 基于共生矩阵纹理特征提取，d=1,θ=0°,45°,90°,135°共四个矩阵-Extract texture features based on the gray level co-occurrence matrix, d = 1, θ = 0, 45, 90, 135, a total of four matrix
glcm
- 基于灰度共生矩阵glcm纹理特征的SAR图像特征提取，图像分割-SAR image feature extraction , image segmentation based on the glcm texture features
tamura-texture
- tamura features for image classificaion or CBIR
image-retriveal-on-tamura
- 计算图像的tamura纹理特征的函数，实现对纹理三大特征的加权,并能有效的对图像库图像进行纹理检索- calculate image tamura texture features, weighting function to achieve the texture three major characteristics，can retrieve effectively in the image library image for texture retrieval
wenlichengxu
- 有关纹理的图像检索算法，利用双树复小波提取图像的纹理特征-Texture image retrieval algorithm using tree complex wavelet extraction image texture features
基于LBP纹理特征的运动目标检测算法
- 基于LBP纹理特征的运动目标检测算法.rar-Moving target detection algorithm based on LBP texture features. Rar
kk
- 综合灰度和纹理特征的视频段检索匹配研究.rar-The integrated grayscale and texture features video segment retrieval match. Rar