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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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LTI-Lib is an object oriented computer vision library written in C++ for Windows/MS-VC++ and Linux/gcc. It provides lots of functionality to solve mathematical problems, many image processing algorithms, some classification tools and much more... -LT
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此方法采用经典的PCA对人脸图像进行特征提取，用libsvm库函数的SVM分类器对图像分类。,This method uses the classical PCA on the face image feature extraction, with the libsvm library function of SVM classifier for image classification.
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灰度共生矩阵提取图像特征 然后对图像分类-Gray-scale extraction of image feature co-occurrence matrix of image classification and then
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matlab图像分类分割编程
利用matlab 的fuzzy分类为图像分类编写的matlab程序-image classification segmentation matlab programming
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RGB图像分类，并在HSV维进行拓展，实现了一种改进的HSV分类算法-RGB image classification, and for HSV-dimensional expansion of HSV to achieve an improved classification algorithm
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4种基本的lbp算法函数，实现图片纹理分类-Four basic LBP algorithm functions, realize image texture classification
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经典的图像处理算法，主要功能是实现种子的分类，从而鉴别种子。-Classical image processing algorithms, the main function is to achieve the classification of seeds, to identify seed.
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二值描述，主要用于图像的边缘提取 可以用来为图像分类-Binary descr iption, mainly used for the edge extraction of the image can be used to image classification
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It is about KNN classification. It is widely used in image processing
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SVM 用于基于块划分特征提取的图像分类源码-SVM for feature extraction block-based image classification into source
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（1） 将图片灰度化与二值化
（2） 去噪，然后切割成一个一个的字符
（3） 提取每一个字符的特征，生成特征矢量或特征矩阵
（4） 分类与学习。将特征矢量或特征矩阵与样本库进行比对，挑选出相似的那类样本，将这类样本的值作为输出结果。
-(1) the image gray scale with two values
(2) denoising, then cut into a character
(3) extract
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来自<Multiresolution gray-scale and rotation invariant texture
classification with local binary patterns>,LBP，用于图像的纹理特征分析-From <Multiresolution gray-scale and rotation invariant texture
classification with local binary patterns>,LBP, us
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This a supervised classification code-This is a supervised classification code
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在样本图像采集读取、图像预处理、特征参数提取、车型识别分类等方面进行了系统研究-In the sample image acquisition read, image preprocessing, feature extraction, classification models to identify other aspects of the system study
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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.
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纹身图像处理与分类，有效的图像处理方法，本人学习之用。-Tattoo image processing and classification, effective image processing method, I am learning.
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Spectral-Spatial Hyperspectral Image Classification via Multiscale Adaptive Sparse Representation
Fang, Leyuan and Li, Shutao and Kang, Xudong and Benediktsson, Jon Atli Geoscience and Remote Sensing, IEEE Transactions on:2014
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用来图像分割，特征提取，目标跟踪，分类的工具箱-Used for image segmentation, feature extraction, target tracking and classification of the toolbox
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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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