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Description: segmentation code in image processing
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Size: 40960 |
Author: kabish |
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Description: 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 it编了个own, not very ideal, but it is available, have been implemented. Including the generation of gray-level co-occurrence matrix as well as some characteristic parameters. f1, the second order from. f2, contrast. f3, related. f5, inverse gap. f6, and the average. f7, and the variance. f9, the average difference. f10, difference variance. Please wing.
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Size: 2048 |
Author: 周鹏 |
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Description: glcm examples in matlab
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Size: 6144 |
Author: geogate13 |
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Description: 灰度共生矩阵相关资料，包括生成灰度共生矩阵matlab代码，Matlab7工具箱中缺少的graycomatrix.m文件，以及一个通过灰度共生矩阵提取特征的matlab程序（共20多个特征），可以根据他的方法来从灰度共生矩阵中提取你需要的特征。-GLCM relevant information, including generating GLCM matlab code, Matlab7 toolbox graycomatrix.m missing documents, and a gray level co-occurrence matrix feature extraction through the matlab program (a total of more than 20 features), can be based on his method to extract from the GLCM features you need.
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Size: 11264 |
Author: Du |
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Description: 为使灰度共生矩阵(GLCM)提取的特征值较好地表达纹理信息,对Brodatz纹理库图片进行了大量实验。
首先测试了各构造参数对关键特征统计量的影响,给出了特征值随参数变化的规律,确立了构造参数的合理取值 然
后测试了图像旋转和大小变化对所提取特征值的影响-In order to grayscale co-occurrence matrix (GLCM) features extracted texture to express the value of good information and pictures on the Brodatz texture library has a large number of experiments. First, test the key features of various structural parameters on the impact of statistics given parameters of the feature value with changes in the law establishing the reasonable value of structural parameters and then test the changes in image rotation and size of the extracted characteristic values of
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Size: 533504 |
Author: 才鸟 |
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Description: 基于类别共生矩阵的纹理疵点检测方法 邹超 朱德森 肖力
摘要：根据有规则纹理的特点，提出了基于类别的共生矩阵来描述纹理特征，从而很好地将正常纹理与疵点区分开。分析了传统的灰度共生矩阵在计算纹理特征时计算量大，且分辨能力差的缺点．为了克服灰度共生矩
阵在计算量和分辨能力上的缺点，定义了类别共生矩阵．在类别共生矩阵的算法中，首先学习纹理的一些基本特征以确定类别共生矩阵的一些关键参数。如纹理的概率密度分布、纹理的主方向和周期，以及分类准则等重要参数，然后计算类别共生矩阵并提取白疵点增强、黑疵点增强和一致度等三个特征，最后采用异常点检测的方法即可很好地区分正常纹理和疵点．实验证明，该方法比已有的灰度共生矩阵计算量小，并具有更突出的分辨纹理和疵点的能力．-Class-Based Co-occurrence Matrix Texture defect detection method ZOU Chao Zhu Sen Xiao Li
Abstract: According to the rules-texture features is proposed based on categories of co-occurrence matrix to describe the texture features, which will be well distinguished from the normal texture with defects. Analysis of the traditional GLCM texture features in the calculation for calculating the volume, and the disadvantage of poor resolution. In order to overcome the symbiotic Gray Moment
Array in the calculation of capacity and the ability to distinguish the shortcomings of the definition of the categories of co-occurrence matrix. In the categories of co-occurrence matrix algorithm, first learn some basic features of the texture in order to determine the categories of some of the key parameters of co-occurrence matrix. Such as the texture of the probability density distribution of the main texture direction and cycles, as well as the classification criteria and other important parameters,
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Size: 3110912 |
Author: 李峰 |
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Description: Visual C++ 实现的灰度共生矩阵-The Visual C++ implementation GLCM
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Size: 4096 |
Author: 陈文超 |
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Description: 用灰度共生矩阵对共生矩阵归一化和计算能量、熵、惯性矩、相关4个纹理参数。-On the symbiosis with the GLCM matrix normalization and calculation of energy, entropy, moment of inertia, related to four texture parameters.
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Size: 1024 |
Author: 青青 |
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Description: GLCM gray level cooccurrence matrix
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Size: 67584 |
Author: Manojkumar |
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Description: 灰度共生矩阵的MATLAB实现，为调用子函数的源码。-GLCM MATLAB implementation of the source code for the subroutine call.
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Size: 1024 |
Author: stefan |
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Description: 提取图像的GLCM矩阵，并计算出Haralick建议的14个特征值-Extract images GLCM matrix, and calculate the 14 Haralick features of the proposed values
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Size: 2048 |
Author: zhangjun |
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Description: 基于OpenCV和VS2008的图像灰度共生矩阵特征提取实现。文件中还有matlab版本的-Images based on OpenCV and VS2008 GLCM feature extraction achieved. Matlab version of the file there
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Size: 4433920 |
Author: qiouyin |
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Description: 计算灰度共生矩阵的Matlab程序，提取图像灰度共生矩阵- glcm image segmentation matlab GLCM program segmentation glcm GLCM Matlab Code image segmentation GLCM matrix
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Size: 2048 |
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Description: 对图像的纹理特征进行提取，主要基于灰度共生矩阵，然后计算二次统计量（即特征）-Texture features for image extraction, mainly based on gray level co-occurrence matrix, and then calculate the amount of secondary statistics (ie features)
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Size: 7168 |
Author: 亚会 |
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Description: 利用灰度共生矩阵提取纹理特征图像，证明了灰度共生矩阵提取的纹理特征对图像分类精度起到了提高的作用-Gray Level Co-occurrence matrix extraction method is more important texture feature extraction method, using matlab realize the
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Size: 316416 |
Author: lichunyan |
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Description: Grey level cooccurence matrix
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Size: 1024 |
Author: shikamaru |
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Description: 利用灰度共生矩阵提取图像特征。。。。。。(Extracting image features using gray level co-occurrence matrix)
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Size: 1024 |
Author: 粽子159557
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Description: 灰度共生矩阵用于提取图像的特征，用于图像识别和分类(Gray level co-occurrence matrix is used to extract the features of images, and is used for image recognition and classification)
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Size: 1024 |
Author: 子爵
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Description: ??为了能更直观地以共生矩阵描述纹理状况，从共生矩阵导出一些反映矩阵状况的参数，典型的有以下几种(In order to describe the state of texture with a symbiotic matrix more intuitively, some parameters reflecting the matrix condition are derived from the symbiotic matrix, typical of the following several)
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Size: 11264 |
Author: Return312 |
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Description: 由于纹理是由灰度分布在空间位置上反复出现而形成的，因而在图像空间中相隔某距离的两象素之间会存在一定的灰度关系，即图像中灰度的空间相关特性。灰度共生矩阵就是一种通过研究灰度的空间相关特性来描述纹理的常用方法。
Gray-level co-occurrence matrix from an image
图像的灰度共生矩阵(Because the texture is formed by the repeated appearance of the gray distribution in the space position, there will be a certain gray relation between the two pixels apart from a certain distance in the image space, that is, the spatial correlation characteristic of the gray level in the image. Gray level co-occurrence matrix is a commonly used method to describe texture by studying the spatial correlation properties of grayscale.
Gray-level co-occurrence matrix from an image
Grayscale symbiotic matrix of images)
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Size: 914432 |
Author: zbf661 |
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