Description: 本程序在对图像进行纹理分析（基于共发矩阵的方法）的基础上，获取图像不同区域的纹理特征，针对这些纹理特征，采用聚类（K-mean)的分类算法对图像进行区域划分！-procedures in the right image texture analysis (based on total fat matrix method), on the basis of access to different regions of the image texture features, these features texture, using clustering (K-mean) the right image classification algorithm for a regional breakdown! Platform: |
Size: 350655 |
Author:陈镇静 |
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Description: 本程序在对图像进行纹理分析（由于共发矩阵的方法效果很不好，本程序采用基于频率域的纹理分析算法）的基础上，获取图像不同区域的纹理特征，针对这些纹理特征，采用聚类（K-mean)的分类算法对图像进行区域划分！-procedures in the right image texture analysis (due to a total of hair matrix, the effect is very bad, the program uses a frequency domain based on the texture analysis algorithm), on the basis of access to different regions of the image texture features, these texture characteristics, using clustering (K-mean) the right image classification algorithm for a regional breakdown! Platform: |
Size: 303623 |
Author:陈镇静 |
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Description: 本程序在对图像进行纹理分析（基于共发矩阵的方法）的基础上，获取图像不同区域的纹理特征，针对这些纹理特征，采用聚类（K-mean)的分类算法对图像进行区域划分！-procedures in the right image texture analysis (based on total fat matrix method), on the basis of access to different regions of the image texture features, these features texture, using clustering (K-mean) the right image classification algorithm for a regional breakdown! Platform: |
Size: 350208 |
Author:陈镇静 |
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Description: 本程序在对图像进行纹理分析（由于共发矩阵的方法效果很不好，本程序采用基于频率域的纹理分析算法）的基础上，获取图像不同区域的纹理特征，针对这些纹理特征，采用聚类（K-mean)的分类算法对图像进行区域划分！-procedures in the right image texture analysis (due to a total of hair matrix, the effect is very bad, the program uses a frequency domain based on the texture analysis algorithm), on the basis of access to different regions of the image texture features, these texture characteristics, using clustering (K-mean) the right image classification algorithm for a regional breakdown! Platform: |
Size: 303104 |
Author:陈镇静 |
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Description: 提出一种基于分形理论和BP 神经网络的航空遥感图像有监督分类方法。该方法尝试将航空图像
的光谱信息和纹理特征相结合。它首先将彩色航空图像由RGB 格式转化为HSI 格式,然后,根据亮度计算分
数维、多重分形广义维数谱q-D( q) 和“空隙”等基于分形的纹理特征,同时加入归一化的色度和饱和度作为光
谱特征,采用BP 神经网络作为分类器。通过对彩色航空图像的分类实验,结果证实该方法行之有效。-Based on fractal theory and BP neural network of aviation remote sensing image supervised classification method. This method tries to aerial images of the spectral information and texture characteristics of the combination. It will first color aerial images from the RGB format into HSI format, and then, according to the brightness calculation of fractal dimension, the generalized multi-fractal dimension spectrum qD (q) and the Platform: |
Size: 274432 |
Author:xuhuoping |
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Description: 基于纹理的形状恢复和纹理的应用,利用离散小波框架模极值共生距阵的分类算法，能够很好的修得复大块缺损的图像-Based on the shape and texture, using the texture application framework of discrete wavelet modulus maximum symbiosis of classification algorithm is very good, can you answer large defect image Platform: |
Size: 1796096 |
Author:张开 |
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Description: 基于纹理及光谱信息融合的遥感图像分类方法研究，硕士论文，有关纹理和遥感图像分类很好的学习素材-Texture and spectral information based on the integration of remote sensing image classification method, master' s thesis, the classification of remote sensing image texture and good learning material Platform: |
Size: 6300672 |
Author:黄玲 |
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Description: 用于图像的纹理分割，适合用于图像的纹理分割和图像特征分类，并且是基于MATLAB实现的纹理特征分割。-For image texture segmentation, texture suitable for image segmentation and image feature classification, and is based on the MATLAB implementation of the texture features segmentation. Platform: |
Size: 37888 |
Author:王秋燕 |
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Description: Gabor小波变换技术对医学CT图像进行纹理特征分类时，由于图像拍摄角度的变化会造成分类的误差。针对以上问题，在Gabor小波变换的基础上提出一种用于分析旋转不变医学图像的方法。该方法采用旋转规范化，即特征元素的循环移位使规范化后所有的图像都具有相同的主方向。实验结果表明，加入旋转规范化循环算子的Gabor小波变换在医学CT图像纹理特征分类时能够达到较好的精确度。-Gabor wavelet transform lacks in its ability to classify the medical CT image if it’s rotation invariant image. Aiming at the problem, an approach is presented for rotation invariant medical texture classification based on Gabor wavelet transform. Rotation normalization is achieved by circular shift of the feature elements, so that all images have the same dominant direction. Experimental result shows that Gabor wavelet transform with circular operator of rotation normalization has well precision to classify the medical CT image. Platform: |
Size: 407552 |
Author:li |
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Description: 将matlab应用于基于纹理特征的遥感影像分类中的标准差分类-Matlab applied to the differential classification based on texture features of the remote sensing image classification standard Platform: |
Size: 11264 |
Author:潘勇 |
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Description: Textural Features for Image Classification-Texture is one of the important characteristics used in
identifying objects or regions of interest in an image, whether the image
be a photomicrograph, an aerial photograph, or a satellite image. This
paper describes some easily computable textural features based on gray-
tone spatial dependancies, and illustrates their application in category-
identification tasks of three different kinds of image data: photo-
micrographs of five kinds of sandstones, Platform: |
Size: 5898240 |
Author:jjdjjf |
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Description: 基于SVM的图像分类，由于支持向量机的分类能力极大地依赖于核参数的选取，因此，本文着重研究了核参数选择方法，并利用不同的颜色、纹理特征对图像进行分类。
-SVM-based image classification, the classification capability of SVM kernel parameters greatly depend on the selection, therefore, this paper focuses on the kernel parameter selection method, and use a different color, texture features for image classification. Platform: |
Size: 3573760 |
Author:ww1 |
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Description: 基于压缩感知的纹理图像分类，介绍了一种新的高效算法：分类压缩感知。与一般压缩感知及其他方法在四大纹理数据库上对比。有原文献及自己的译文-Introduced a new efficient algorithm based on compressed sensing texture image classification, compressed sensing: Category. Original literature and translation Platform: |
Size: 473088 |
Author:任仲乐 |
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Description: 基于DCT域的鲁邦水印算法，原始图像分块DCT变换，基于纹理掩蔽特性的块分类，产生水印并嵌入提取-Lupin based DCT domain watermarking algorithm, the original image block DCT, texture classification based on block masking characteristics, generate and embed a watermark extraction Platform: |
Size: 198656 |
Author:张燕华 |
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Description: 基于压缩感知思想的图像分块压缩与重构方法
考虑到大多数图像信号信息分布有差异, 编码端, 在对图像分块的基础上, 融合熵估计
和边缘检测方法计算各图像块的信息含量, 再从两个不同的角度进行分类采样: 依据信息量多少将图像块分为平滑、过渡和纹理3 类, 使用不同的采样率采样 依据信息量的分布特征, 采用不同的采样率分配策略进行采样. 在解码端, 根据不同类型的图像块构造不同的线性算子进行重构, 再运用改
进的迭代阈值算法去除块效应和噪声. 实验证明, 算法在提升图像重构质量的同时缩短了重构时间,并且对纹理边缘多的图像的重构效果较其他方法理想.-Considering that most information of the image signal difference distribution, the encoding side, in the right image sub-blocks based on the integration entropy estimation
And edge detection method for calculating the information content of each image block, and two different angles classification sampling: The number of image blocks based on the amount of information into a smooth, transition and texture three classes, using different sampling rates based on the amount of information distribution characteristics, using different sampling sampling rate allocation strategy. in the decoding side, depending on the type of image blocks to construct different linear operator reconstructed, re-use change
Iterative thresholding algorithm into blockiness and noise removal experiments show image reconstruction algorithm to enhance the quality while reducing reconfiguration time, and much of the texture edge image reconstruction results are satisfactory compared to other methods. Platform: |
Size: 10092544 |
Author:Dr_wong |
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Description: Textonboost用boosting实现基于纹理特征的图像分类，里面有训练集、测试集和验证集，具有一定参考价值。-Textonboost uses boosting to realize image classification based on texture features, which has training set, test set and validation set, which has a certain reference value. Platform: |
Size: 2048 |
Author:刘健 |
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Search - image classification based on texture