搜索资源列表
统计
- 计算图像直方图的统计特征，包括均值，方差，熵，三阶矩等。-image histogram calculated the statistical characteristics, including mean, variance, entropy, such as third-order moments.
imageproccess
- 关于纹理的特征计算程序 包括对比度,能量,熵,局部平稳,共生矩阵的计算.-texture of the program features include contrast, energy, entropy, local stable, symbiotic matrix calculations.
H263coder
- H.263编码器的主要特征：包括运动估计和补偿 离散余弦变换(DCT) 量化 熵编码 帧存储-H.263 coding for the main features : including motion estimation and compensation discrete cosine transform (DCT) quantify entropy coding frame memory, etc.
chip_histogram_features.rar
- 直方图是用面积表示各组频数的多少，矩形的高度表示每一组的频数或频率，宽度则表示各组的组距，因此其高度与宽度均有意义。 程序提取了很多直方图所需要的参数特征，如均值、方差、偏度、峰度、能量和熵。 ,Histogram is that each group size the number of frequency, the height of the rectangular frequency of each group said that the number or frequency,
Texture.rar
- 由灰度共现矩阵提取纹理特征：能量，惯性矩，相关性，熵，有完整的交互界面,By the gray co-occurrence matrix texture features extraction: energy, moment of inertia, relevance, entropy, there is a complete interface
work1
- 提取纹理图像特征，包括平均值、标准差、平滑度、三阶矩、一致性、和熵。-Extract texture features, including mean, standard deviation, smoothness, third moment, consistency, and entropy.
chip_histogram_features
- 直方图特征的计算，包括方差，峰度，熵值等。-Histogram of the characteristics of the calculation, including the variance, kurtosis, entropy and so on.
work
- 有小波分解求小波熵，还有小波包技术求解信号特征，适应与分析脑电信号特征-Seeking a wavelet decomposition wavelet entropy, and wavelet packets technique to solve the signal characteristics, and analysis of EEG characteristics of adaptation
histogramfeaturestiqu
- 程序提取了很多直方图所需要的参数特征，如均值、方差、偏度、峰度、能量和熵。-chip_histogram_features
lubangxingdetuxiangpinjie
- 图像拼接的核心是图像的配准.提出一种准确、高效的图像拼接方法:利用Harris角点检测算子提取相邻图 像的特征点,通过Euclid度量改进熵变换的算法,进行特征点匹配,并通过最小均值二乘估计求解相邻图像的变换 矩阵,以此实现宽视角图像的拼接.实验结果表明:所给出的算法能够实现场景图像的精确匹配. -Image mosaic is the core of image registration. Make an accurate and efficient method of image
chip_histogram_features
- 本程序使用matlab实现提取了很多直方图所需要的参数特征，如均值、方差、偏度、峰度、能量和熵。-This procedure used to achieve extracted a lot of matlab histogram parameters needed features, such as the mean, variance, skewness, kurtosis, energy and entropy.
npcnn4
- 利用信息熵，确定迭代次数，完成pcnn脉冲耦合神经网络的图像分割-The use of information entropy, determine the number of iterations, complete PCNN PCNN image segmentation
xinxishang
- ：将信息论中熵的概念应用到特征选择中，定义了两种信息测度评价特征——误差熵和混叠熵，然后阐述了两种定义的不 用物理意义，分析了计算熵中最关键的区间划分问题，并提出一种较好的区间划分方法。-: The concept of entropy in information theory applied to feature selection, the definition of information measure evaluation of two features- error entro
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
huidu
- 将RGB图像转化成灰度图像，并利用灰度共生矩阵计算熵特征图像。-RGB image is converted to grayscale images, and calculate the entropy feature image use GLCM.
二维图像熵
- 计算图像的二维图像熵,在一维熵的基础上引入能够反映灰度分布空间特征的特征量组成图像的二维熵 包括 计算图像二维图像熵的函数文件 H_img2d.m 调用该函数的代码 H_img2d_test.m 以及测试代码用图像文件 boy.jpg(computing two dimensional image entropy of an image)
纹理特征提取
- 应用灰度共生矩阵求解纹理特征并用熵，相关性，惯性矩，能量，局部平衡等参数带有实例照片可以直接编译(Applying the grayscale symbiotic matrix to solve the texture features and using entropy, correlation, inertia moment, energy, local equilibrium and other parameters with example photos can be compiled
新建文件夹
- 基于灰度共生矩阵的图像纹理特征提取，包括熵，能量，相关，均值，逆差矩等(Image texture feature extraction based on gray level co-occurrence matrix)
EMD样本熵特征提取
- 分享样本熵（Sample Entropy, SampEn, SE）的理论相关知识及其代码实现。