Description: Contourlet变换结合了不可分离的方向滤波组,具备小波所不能表达的多方向特性,能有效捕获自然图像的边缘轮廓信息。本文分析了图像ontourlet系数的统计特征,并利用广义高斯函数对各子带系数层进行建模。将此模型应用于基于VisTex的自建纹理图像库,采用矩匹配估计法,提取模型参数集,运用K2L距离计算图像间的相似度。对800幅纹理图像进行检索,本文方法比传统小波方法的平均检索查准率高出约2％到10％不等。实验结果表明,该方法改进了导向纹理的描述-Transform Contourlet inseparable combination of the direction of filtering group, have not expressed by wavelet multi-directional properties, can effectively capture the edge of natural image contour information. This paper analyzes the image ontourlet coefficient statistical characteristics, and take advantage of the generalized Gaussian function of the sub-band coefficient modeling layer. Based on this model was applied to the self-VisTex texture image database, using moment matching estimation method, extract the model parameters set, K2L use of distance-based similarity between images. Of 800 texture image retrieval, wavelet method than the traditional method of the average retrieval precision by about 2 to 10 range. Experimental results show that the method improves the texture-oriented description of Platform: |
Size: 198656 |
Author:焦亚民 |
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Description: 这个matlab程序用于实现广义高斯分布的参数估计，非常有用-Matlab program for the realization of the generalized Gaussian distribution of parameter estimation, a very useful Platform: |
Size: 7168 |
Author:吴 |
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Description: 本文着重阐述了通过广义高斯模型理论在高分辨率遥感影像中进行变化检测的技术，能够获得良好的检测效果。-This article focuses on the Generalized Gaussian model through the theory in the high-resolution remote sensing images for change detection technology, able to obtain good detection effect. Platform: |
Size: 309248 |
Author:征征 |
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Description: 自己编写的matlab程序，用于广义高斯分布的形状参数估计。-Matlab have written procedures for the generalized Gaussian distribution shape parameter estimation. Platform: |
Size: 132096 |
Author:lpmsu |
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Description: 定点频域ICA，使用高斯函数、负熵最大化来处理语音信号分离问题的演示-FIXED-POINT FREQUENCY DOMAIN ICA with
GENERALIZED GAUSSIAN FUNCTION BASED
NEGENTROPY APPROXIMATION for SPEECH SIGNAL
SEPARATION Platform: |
Size: 847872 |
Author:leo |
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Description: A package for wavelet-based texture retrieval: MATLAB source code that produced the results in the paper Wavelet-based texture retrieval using generalized Gaussian density and Kullback-Leibler distance. Platform: |
Size: 39936 |
Author:dao |
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Description: 压缩包中的算法使用moment matching和MLE估计矩阵的广义高斯分布参数，推荐一下。-Compression package using the moment matching algorithms and the estimated matrix of MLE parameters of generalized Gaussian distribution, recommend. Platform: |
Size: 7168 |
Author:Ming |
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Description: 基于复数小波域广义高斯分布模型的纹理图像检索。
-Complex Wavelet Domain Based on Generalized Gaussian Distribution Model for Texture Image Retrieval. Platform: |
Size: 1045504 |
Author:爱学习 |
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Description: GMM-GMR is a set of Matlab functions to train a Gaussian Mixture Model (GMM) and retrieve generalized data through Gaussian Mixture Regression (GMR). It allows to encode efficiently any dataset in Gaussian Mixture Model (GMM) through the use of an Expectation-Maximization (EM) iterative learning algorithms. By using this model, Gaussian Mixture Regression (GMR) can then be used to retrieve partial output data by specifying the desired inputs. It then acts as a generalization process that computes conditional probability with respect to partially observed data. Platform: |
Size: 1034240 |
Author:ning |
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Description: 对广义高斯分布有个基本的认识，为以后的应用打下基础-The generalized Gaussian distribution have a basic understanding of lay the foundation for future applications Platform: |
Size: 132096 |
Author:zhangyan |
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Description: 对广义高斯混合模型有个初步的认识，基本掌握GGD模型-Generalized Gaussian mixture model has a preliminary understanding of the basic grasp the GGD model Platform: |
Size: 7168 |
Author:zhangyan |
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Description: 对三维图像进行求导的一个程序，利用高斯卷积后对图像求导相当于对高斯函数求导的性质。是用itk库写的一个通用模板类，里面还有例子。-Computation of local image derivatives is an important operation in many image processing tasks that
involve feature detection and extraction, such as edges, corners or more complicated features. How-
ever, derivative computation in discrete images is an ill-posed problem and derivative operators without
any prior smoothing are known to enhance noise. Here we present a new convolution operator, the
GaussianDerivativeOperator, that allows to calculate locally Gaussian derivatives of N order. Fur-
thermore, we present some useful classes and examples that make use of this new operator. Platform: |
Size: 866304 |
Author:xrx |
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Description: 一种广义高斯分布的参数快速估计法,实现GGD函数拟合-The parameters of a generalized Gaussian distribution fast estimation method to achieve function fitting GGD Platform: |
Size: 308224 |
Author:li820325 |
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Search - generalized gaussian