搜索资源列表
图像纹理特征提取
- 提取图像的纹理特征，包括熵，一致性，三阶矩等。
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,
Image.rar
- matlab 关于二值图像熵和交叉熵的计算程序,这一程序与结合其它方法对图像进行分割,作为一个判断标准.,matlab on the binary image entropy and cross entropy calculation procedure, which in combination with other methods and image segmentation, as a criterion.
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
First_EEE
- 语音信号线性特征的能量熵特征的计算，这是第一能量熵的源码，希望大家可以借鉴一下-Linear characteristics of speech signal characteristics of the energy calculation of entropy, this is the first energy entropy of the source, I hope we can learn about
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
patternrecognitionfuzzyclassifiy0912
- 模式分类，提取的新特征，包括熵和尺寸特征，可分性好效果明显-pattern recognition ,new feature incuding entropy and size feature, better performance
一种样本熵的代码
- 一种新的熵的计算方法，可以有效地应用与特征提取的过程中。
小波分解+MSE熵+特征提取
- 通过小波四层分解，获取脑电信号的四个波形，之后运用多变量多尺度熵计算综合MMSE，为脑电信号识别做基础(After four layers of wavelet decomposition, four waveforms of EEG signals are acquired, and then the MMSE is calculated by using multivariable and multi-scale entropy, which is the basis of EEG reco
SampEn
- 模糊熵特征提取 计算信号的复杂度 用于信号识别 故障诊断(Fault diagnosis for signal recognition)
分形维数和近似熵
- 分形维数和近似熵 用于提取特征量 实现信号识别 故障诊断(Fault diagnosis based on signal recognition)
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)
图像熵
- 图像熵在图像分割、图像识别领域应用广泛，如果考虑各像素之间统计独立，图像的一维熵可以表示图像灰度分布的聚集特征。(Image entropy is widely used in image segmentation and image recognition. If the statistical independence between pixels is considered, the one-dimensional entropy of the image can represent th
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
信息论特征选择KDD Code
- 基于信息熵的特征选择算法，评价每个属性与分类的关联信息，评价属性，进行特征选择(Feature selection algorithm based on Information Entropy)
clustering
- 自己做的一些层次聚类 有一些数据集 和一些仿真图 用的是信号熵特征进行聚类(Some of the hierarchical clustering done by myself, some data sets and some simulation maps are clustered by means of signal entropy features.)
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。
CEEMD-样本熵
- 用ceemd分解信号IMF分量，用峭度相关原则筛选噪声，用样本熵进行特征提取(18/5000 CEEMD was used to decompose the signal and sample entropy was used to extract the feature)