Description: 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. Platform: |
Size: 58319 |
Author:刘冰 |
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Description: 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. Platform: |
Size: 3576832 |
Author:刘冰 |
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Description: 纹理分析：打开一个.BMP文件后计算其纹理特征，能知道其能量，熵，惯性矩，局部平稳性，和相关系数.-Texture Analysis: Open a. BMP files to calculate the texture features, to know its energy, entropy, moment of inertia, partial stationarity, and the correlation coefficient. Platform: |
Size: 66560 |
Author:沧海客 |
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Description: 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 Platform: |
Size: 5724160 |
Author:张球儿 |
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Description: 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. Platform: |
Size: 2048 |
Author:guorong |
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Description: 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, the width of that group from each group, so the significance of height and width of both. Extraction procedures need a lot of parameters histogram features, such as mean, variance, skewness, kurtosis, energy and entropy. Platform: |
Size: 2048 |
Author:zhangyun |
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Description: 针对目标与背景两类图像模式识别问题,在已有的特征选择方法基础上,提出了一种新颖的基于免疫分子编码机理的图像特征选择方法(IACA). 该方法借鉴生物免疫系统的抗体分
子编码机理,在对样本进行参数估计情况下,提出熵度量单个特征对于目标和背景的识别敏感度 从集合的角度研究并且定义了特征之间的包含和互补关系 并且基于组成抗体分子氨基酸结合能量最小原则,提出了关于图像目标的免疫抗体构建规则 最终实现了寻找最优特征子集的算法IACA ,该特征子集的维数通过算法自动获得无需人为设定,选择结果为目标的“免疫抗体”,能很好的从背景中识别目标. 利用归纳法证明了用IACA 得到的特征子集的最优性. 与其他特征选择方法比较,测试结果显示该算法具有较低的计算复杂度和错误识别率,表明了该方法的优越性和先进性.-Aiming at two classes image pattern recognition problem of object and background , a novel image feature selection method ,named immune antibody construction algorithm ( IACA) is proposed , inspired by the biological immune antibody encoding principle. In the case of sample parameter estimation , IACA considers entropy to measure individual feature’s sensitivity of object and background ,and defines the inclusion and complementary formulas about multi features in set theory perspective. Guided by the minimum energy principle , image immune antibody construction rules and corresponding algorithm are proposed to find an
optimized feature subset as object immune antibody. Furthermore ,the dimension of the subset can be automatically determined with out prior setting. The induction proved the result was the optimal feature subset. Data testing result shows that IACA has a lower computational complexity and error recognition rate than other methods ,which has verified the superiority and t Platform: |
Size: 593920 |
Author:崔冰 |
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Description: 特征提取是模式识别中最重要的一个部分，这里提供的matlab代码计算一些基本的话音特征，而且，提供了一个简单的基于直方图的特征分类方法的实现。基本的特征包括：特征统计、Energy Entropy Standard Deviation (std)、均值信息熵、过零率检测、频谱衰减等等六个特征-Pattern recognition feature extraction is the most important part, here' s matlab code to compute some basic voice features, but also provides a simple classification method based on histogram characteristics of the implementation. Basic features include: Features and Statistics, Energy Entropy Standard Deviation (std), mean entropy, the zero-rate detection, attenuation, and so the six characteristics of the spectrum Platform: |
Size: 2048 |
Author:李韬 |
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Description: features to voice and un voice classification , pitch determination whith AMDF and other features like Spectral Centroid and Entropy of the energy Platform: |
Size: 606208 |
Author:kato |
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Description: 利用聚类技术实现纹理图像分割,聚类方法为k_聚类-The use of clustering technology to achieve texture image segmentation, experimental use of texture features include: mean, standard deviation, energy and entropy Platform: |
Size: 1024 |
Author:hebpaopao |
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Description: Calculation of glcm
Energy
Entropy
Homogeneity
Features
Dissimilarity
Categorize-Calculation of glcm
Energy
Entropy
Homogeneity
Features
Dissimilarity
Categorize
Platform: |
Size: 3072 |
Author:shrik |
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Description: 直接读取图像，转化为灰度图，计算磨粒图像的纹理特征，能量，熵，惯性矩等参数-Direct read image is converted to grayscale, abrasive image texture features calculation, energy, entropy, moment of inertia and other parameters Platform: |
Size: 1024 |
Author:王桑 |
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Description: 使用纹理特征对图像进行分割，使用两种纹理提取方法：灰度共生矩阵与灰度直方图求均值方差、熵和能量。-Use of texture features for image segmentation, texture extraction using two methods: GLCM and histogram averaging variance, entropy and energy. Platform: |
Size: 3072 |
Author:yadan |
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Description: 批量处理图片，提取主要的四个纹理特征（能量、熵、惯性矩、相关性），并存入向量内(Batch processing pictures, extract the main four texture features (energy, entropy, moment of inertia, correlation), and put them into the vector.) Platform: |
Size: 1024 |
Author:wanna1234
|
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Description: 特色：1.借用小波包分解和小波能量熵函数；2.GUI界面导入西储大学轴承故障数据；3：对提取小波能量方便快捷(Features: 1. Use wavelet packet decomposition and wavelet energy entropy function; 2. GUI interface to import bearing fault data of Xichu University; 3. It is convenient and fast to extract wavelet energy) Platform: |
Size: 7464960 |
Author:lynn2017 |
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Search - Features of energy - entropy