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基于分类方法的分形图像压缩，简单介绍了分形图像压缩方法的研究，期刊。-Based on the classification method of fractal image compression, a brief introduction of the fractal image compression methods, periodicals.
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这是一幅SAR 图像,bmp格式的.可以用来去除噪声和SAR 分类.-This is a SAR image, with bmp format. which can be used to remove noise and SAR classification.
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image color segmentation using Euclidean and Mahalanobis methods
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基于PCA的图像分类的方法，该方法效果好，易理解。-PCA-based image classification method, the method effective, easy to understand.
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基于bp神经网络的遥感图像的分类和识别的MATLAB实现-Bp neural network-based remote sensing image classification and recognition of the MATLAB implementation
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基于图像检索的matlab代码，基于内容的图像检索中的一些关键环节：特征提取：颜色直方图；纹理特征等 相似度：马氏距离，欧氏距离等 相关反馈：机器学习方法，如SVM，神经网络等 检索与分类：两个很相似的样本距离很小，虽然两个不相似的样本距离未必很大-content-based image retrieval of some of the key issues : Feature Extraction : color histogram Texture characteristics of si
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用C++实现了模式识别中K-均值算法的实现，并用于图像分类实现。-Pattern recognition C++ achieve the realization of the K-means algorithm, and used for image classification.
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这是一个偏最小二乘法的源程序代码，它用最小二乘法的方法成功实现了数值计算-failed to translate
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基于matlab的自组织神经网络进行遥感图像分类处理-Matlab based on the self-organizing neural network for remote sensing image classification processing
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主要是实现ISOdata分类算法对图像进行分类的C++代码。-Mainly to achieve ISOdata classification algorithm for image classification
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水果图像的分类处理，与以往不同的是改程序可以直接对图片进项处理-Fruit image classification, and different from the past to change the program proceeds directly to the picture processing
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基于神经网络方法的卫星图像云分类 BP神经网络和SOM神经网络-Satellite cloud image classification method based on neural network BP neural network and SOM neural network
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可以将著名的ImageNet数据集中的图片，根据其XML标注文件的标注，剪裁出图像中的目标，按标注类别进行分类。可以修改验证集图片的分类方式等。-Images can be famous ImageNet data set, according to its XML tagging file annotation, cut out the image of the target, according to the categories are classified.Can modify the
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利用gabor滤波器实现特征提取功能在影像分类中-Use gabor filters achieve feature extraction in image classification
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matlab code of A hybrid approach combining extreme learning machine and sparse representation for image classification. Engineering Applications of Artificial Intelligence 27 (2014): 228-235.-Luo, Minxia, and Kai Zhang. A hybrid approach combining e
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this code product to classification of blood histology images.texture and color features used to patterns extraction and classified using SVM (support vector machine). texture features extracted with SRF gradient and LBP operator and to color feature
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classification des image satilitaire par k-means
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Hyperspectral image classification
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joint classification
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svm高光谱图像分类3D-CNN Hyperspectral Image Classification(svmHyperspectral Image Classification)
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