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texture_extraction
- 灰度共生矩阵和灰度梯度共生矩阵的提取方式，是比较重要的纹理特征提取方法，用matlab实现的-co-occurrence matrix and GGCM extraction, is the more important Texture feature extraction methods, achieved using Matlab
使用matlab求图像的灰度共生矩阵的程序
- 使用matlab求图像的灰度共生矩阵的程序，很好用,Using matlab for image co-occurrence matrix of gray-scale procedure, a very good use
sift.rar
- 用matlab和VC实现图像匹配拼接的sift算法,VC implementation using matlab and the image matching algorithm sift Splicing
MATLAB.rar
- 自己现在在做的论文用到灰度共生矩阵，找了好久都没找到很好用的，所以自己就编了个，不很完美，但绝对可用，已经实现过。包括灰度共生矩阵的生成以及一些特征参数。f1，二阶距。f2，对比度。f3，相关。f5，逆差距。f6，和平均。f7，和方差。f9，差平均。f10，差方差。请不吝赐教。,Now do their own papers in the gray co-occurrence matrix used to find for a long time to find no good use, so
partical filter
- 关于用粒子滤波实现目标跟踪的MATLAB程序。-Target tracking code using particle filter in MATLAB.
Texture-features
- matlab编写的用于实现灰度共生矩阵，灰度-梯度共生矩阵，灰度直方图，协方差系数，LOG滤波器的源代码了。全部经过测试，可以直接使用。对于做纹理分析很有帮助。一共有五个代码-matlab prepared for the realization of Gray Level Co-occurrence matrix, gray- gradient co-occurrence matrix, gray histogram, covariance coefficients, LOG source c
textture-feature
- 基于共生矩阵纹理特征提取，d=1,θ=0°,45°,90°,135°共四个矩阵,所用图像灰度级均为256-Co-occurrence matrix based texture feature extraction, d = 1, θ = 0 °, 45 °, 90 °, 135 ° total of four matrices, the use of gray-scale images are 256
graycomatrix
- 用MATLAB编写的灰度共生矩阵程序代码-matlab gravt level co-occurence matrix
fdgsjz
- 灰度共生矩阵代码包，里面包括两个灰度共生矩阵程序的源代码，请大家要用的，下载试试，评价！-Gray-level co-occurrence matrix code package, which includes procedures for both gray level co-occurrence matrix of the source code, please use the U.S., try to download, evaluation!
2Dpca
- 这是一个非常经典的特征提取算法，matlab写的2DPCA源码-This is a very classical feature extraction algorithm 2DPCA, matlab source code
wenli
- 基于灰度共生矩阵的纹理特征提取方法实现目标的识别-Gray-level co-occurrence matrix based texture feature extraction methods to achieve the target identification
code
- 基于FFT变换、DCT变换、HT变换、小波变换和矢量量化技术的图像压缩的Matlab实现。-Based on the FFT transform, DCT transform, HT transform, wavelet transform and vector quantization image compression technology, the Matlab implementation.
GrayLevelCoMatrix
- 提取纹理特征参数,主要是灰度共生矩阵源代码，用于图像处理-gray level co-matrix source code,used for the image processing, to get the texture features
huidugongshengjuzhentezhentiqu
- 基于图像纹理的特征提取，使用灰度共生矩阵方法。-Texture feature extraction based on the use of gray level co-occurrence matrix method.
wenlitezhengtiqu
- 包括计算共生矩阵、对共生矩阵归一化、对共生矩阵计算能量、熵、惯性矩、相关4个纹理参数、求能量、熵、惯性矩、相关的均值和标准差作为最终8维纹理特征 -Including the calculation of co-occurrence matrix, normalized to the co-occurrence matrix, co-occurrence matrix calculation on the energy, entropy, moment of inertia, related t
Digitalsubtraction
- 数字减影血管造影( DSA) 通过向血管中注入造影剂, 使血管的整体影像的对比度有了明显的增强, 然后通 过造影前后图像的相减运算, 可以去除非血管器官的影像, 得到血管更清晰的图像, 目前广泛应用于心血管疾病的 诊断。由于患者的呼吸运动, 使得不同时间采集的图像相减后会产生运动伪影。为了消除运动伪影, 从医生临床上 对于心脏的运动以胸腔的横膈膜为参考目标得到启发, 首先得到很多幅注入造影剂之前的图像( 掩膜图像) 和一幅 注入造影剂之后的图像( 造影图像) , 然后指定其中的一
GongSheng
- % 图像检索——纹理特征 %基于共生矩阵纹理特征提取，d=1,θ=0°,45°,90°,135°共四个矩阵 %所用图像灰度级均为256 %参考《基于颜色空间和纹理特征的图像检索》(% image retrieval - texture features % based on co-occurrence matrix texture feature extraction, d=1, theta, =0 degrees, 45 degrees, 90 degrees, 135 degrees
纹理特征提取
- MATLAB实现图像纹理特征提取：自相关函数法、灰度共生矩阵、分数阶傅里叶变换。GUI界面。运行后可自定义自相关函数的x和y轴偏移，灰度共生矩阵的距离和角度，分数阶傅里叶变换的阶数。输出相应的特征图。(MATLAB realize image texture feature extraction: autocorrelation function method, gray co-occurrence matrix, fractional Fourier transform. GUI interf
1
- To create a GLCM, use the graycomatrix function. The graycomatrix function creates a gray-level co-occurrence matrix (GLCM) by calculating how often a pixel with the intensity (gray-level) value i occurs in a specific spatial relationship to a pixel
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)