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基于分类网格量化的图像压缩算法，用来压缩图像。是一种非常优秀的图像压缩算法。-classification based on the grid to quantify image compression algorithm used for image compression. It is a very good image compression algorithm.
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在图像处理中经常涉及分类，多次有用到非参数估计。本程序用Parzen窗来估计，用随机高斯函数来作计策信号.-in image processing involves classification, the many useful to the non - parametric estimation. The procedure used to estimate Parzen window, using random Gaussian function to signal for the ploy
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c语言编写的基于BP神经网络的对图像车辆分类，其中图像特征提取是用图像不变矩，给出了图像不变矩的样本数据和验证数据。-based BP neural network image of the vehicle classification, Feature Extraction which is the same image moments, the image is unchanged Moments sample data and test data.
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vc图像编程引擎库.能实现数字图像处理的大部分功能!源码对功能进行了分类,一看就会用.-vc programming engine for images. Achieve digital image processing functions most! Source of the classification function , a view they use.
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用以图像分类，可以设计自己的数据集训练模型(For image classification, you can design your own data set training model)
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clbc,用于图像分类，是Yang Zhao和 De-Shuang Huang的学术论文仿真(Clbc, used in image classification, is the academic paper simulation of Yang Zhao and De-Shuang Huang)
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只要是使用稀疏表示方法进行的图像分类，非常有用！(It is useful as long as it is an image classification using the sparse representation method!)
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用于图像分类的Matlab代码，简单实用。2017版本(The Matlab code for image classification is simple and practical. 2017 version)
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对图像分类去燥，语音消除多余的噪声，达到较好的效果(The image classification is dryness, and the voice eliminates the excess noise)
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图像分类，输出迭代学习次数与正确率的图像(Image classification, the output of iterative learning times and the correct rate of image)
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使用matlab语言实现图像分类，入门级。(using the language of matlab to making Image classification)
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基于自适应阈值分割的宫颈细胞图像分类算法论文详细阐述了作者进行图像预处理，分割，细胞分类的步骤，很值得学习(Cervical Cell Image Classification Algorithm Based on Adaptive Threshold Segmentation The paper elaborates on the author's steps of image preprocessing, segmentation and cell classification, and i
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Recent innovations in training deep convolutional neural network models have motivated the design of new methods to automatically learn local image descriptors. The latest deep ConvNets proposed for this task consist(from machine learning show that
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实现图像分类中的传统方法，主要有特征提取模块，还有分类模块，其中该算法将其整合实现了端到端的训练和测试(image classification)
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Object detection using HOG implemented in Python and C++ using OpenCV library
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使用基于词典的稀疏表示高光谱图像分类,多任务联合稀疏表示和逐步MRF优化的高光谱图像分类(Dictionary-based sparse representation hyperspectral image classification, multi-task joint sparse representation and stepwise MRF optimized hyperspectral image classification)
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包括遥感图像分类（监督和非监督）、分类后处理、NDVI、波段运算、颜色转换、光谱分析等等。(It includes remote sensing image classification (supervised and unsupervised), post-processing classification, NDVI, band operation, color conversion, spectral analysis and so on.)
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基于hog特征的svm的图像分类识别，matlab程序(Image classification and recognition based on hog-svm)
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这是一个标准的深度学习图像分类和目标跟踪的matlab程序，效果好，运行平台为matlab2017b.(This is a standard in-depth learning image classification and target tracking matlab program, good results, running platform for matlab 2017b.)
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SVM算法的线性分类，图像分类单幅遥感图像特征提取分类(Linear classification of SVM algorithm, image classification, feature extraction and classification of single remote sensing image)
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