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纹理模式的LBP特征表示及分类原理：就是通过定义一个模板，对于原图像中的每个点，使用该模板进行操作，模板中心点近邻区域对应的图像象素值与中心位置对应的象素值进行比较，且对于不同位置的比较结果赋予不同的权值，从而，变换图像中对应点的值就由模板对应各位置的比较结果之权和表示。-LBP texture pattern feature representation and classification theory: that by defining a template for the origina
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Classification MatLab Toolbox一个很好的图像处理界面，它能够使用很多算法进行模式识别分类-Classification MatLab Toolbox a good image processing interface, it can use many algorithms for pattern recognition classification
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Gabor小波变换的matlab实现，可以完成对图像的纹理特征提取，广泛应用于图像处理，模式识别等方向-Gabor wavelet transform matlab implementation can complete the image texture feature extraction is widely used in image processing, pattern recognition and so the direction of
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一个简单的图形识别程序，算法比较简单，利用了图像获取工具箱-A simple pattern recognition procedure, the algorithm is relatively simple, using the Image Acquisition Toolbox
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图像模式识别聚类分析、模糊聚类、遗传算法聚类-Cluster analysis of image pattern recognition, fuzzy clustering, genetic algorithm clustering
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Meanshift的非监督聚类方法,主要用于图像处理和模式识别。-Meanshift non-supervised clustering method, mainly used in image processing and pattern recognition.
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一种新的图像插值算法，此算法不需要先验信息，主要包括聚类分析，模式识别，图像插值三个阶段-A new image interpolation algorithm, the algorithm does not require a priori information, including cluster analysis, pattern recognition, image interpolation in three stages
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主成分分析，人脸识别，模式识别，对图像处理有点帮助-Principal component analysis, face recognition, pattern recognition, image processing for a little help
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模式识别的
图像的贝叶斯分类
图像的贝叶斯分类
神经网络模式识别-Bayesian pattern recognition image classification image of the Bayesian classifier neural network pattern recognition
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共有十二章，每章都含有丰富的案例。包括图像点运算，图像变换，图像增强，图像分割，模式匹配，目标跟踪等大量的VC与MATLAB源码-A total of 12 chapters, each rich in both cases. Point operations, including image, image transformation, image enhancement, image segmentation, pattern matching, target tracking, such
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图象处理 模式识别 多种分类方法(最临近匹配分类器、Bayes分类器、线性函数分类、非线性函数分类、神经网络分类)识别0-9数字 手写数字与数字图片,包括设计训练样品库、可以选择多种分类器来识别识别0-9这十个阿拉伯数字，包括临时手写的数字，也包括图片中的数字
-Pattern recognition image processing a variety of classification (the most close to matching classifier, Bay
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基于MATLAB,利用模式识别的方法对平面数字图像进行识别-Based on MATLAB, the use of pattern recognition methods for flat panel digital image to identify
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Windowed Fourier transform for fringe pattern analysis (with GUI)
-• Run WFT in MATLAB environment. All processed data are automatically saved in result.mat
4. File list
o wft2fw.m: the basic WFT algorithm.
o unwrapping_qg_trim.m: quali
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蚁群算法，图像模式识别的匹配模板之一，Matlab实现-Ant colony algorithm, image pattern recognition matching one of the templates, Matlab implementation
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从一个模式识别toolbox摘取的计算zernike不编矩的源代码 结果为图像的n阶m重zernike不变矩-Removal of a pattern recognition toolbox from the calculation of moments zernike source code is not compiled the results of the n-order m for the re-image the same moment zernike
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MATLAB实现二值图像匹配 图像分析与模式识别作业 个人编写 能运行-In MATLAB binary image matching image analysis and pattern recognition operations can run personal writing
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This an introductory text on the science (and art) of image processing. The book also
employs the Matlab programming language and toolboxes to illuminate and consolidate
some of the elementary but key concepts in modern image processing and patte
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能够利用matlab针对三芯光纤的干涉图样进行仿真，得到其干涉图片-Able to use matlab to three core optical fiber interference pattern, and simulation the interference image
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对某一模式的组测量值进行变换，以突出该模式具有代表性特征的一种方法。通过影像分析和变换，以提取所需特征的方法-Transformation, in order to highlight the model having the characteristics of a representative set of measurements carried out on a pattern. By image analysis and transformation in order to extra
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在文中，提出来一个基于低秩的特征提取方法(Feature extraction plays a significant role in pattern
recognition. Recently, many representation-based feature extraction methods have been proposed and achieved successes in many
applications. As an excellent unsupervised featu
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