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利用感知机的线性分类功能,实现2维平面的两类模式分类,matlab实现,并用图像显示-Perceptron using linear classification function, the realization of 2-D plane of the two types of pattern classification, matlab achieve, and image display
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基于稀疏编码和线性塔式匹配的图像分类算法。-This package contains the Matlab codes implementing the ScSPM algorithm described in CVPR 09 paper "Linear Spatial Pyramid Matching using Sparse Coding for Image Classification".
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Support Vector Machine Classifier(SVM)
基于支持向量基的图像分类方法,程序变得很好,国外网站上下的,是一个完整的工程-Support Vector Machine Classifier (SVM) based on support vector-based image classification methods, procedures have become very good, abroad site from top to bottom, is a
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Type Classification Code:
main.m (program control)
discretize.m (converts image to discrete values)
plotimg.m (plots images)
dirImg.m (computes the directional image)
extract.m (extracts square portion of image - called by di
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多阈值图像分类的粒子群优化算法,采用自然方法来提高优化速度和计算量-Multi-threshold image classification of the particle swarm optimization algorithm, using natural methods to improve the optimization speed and computation
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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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四种聚类算法源代码及示例代码,本程序的最终目的是形成一套标准的用于聚类、可扩展的工具。包括的内容有1. 聚类算法:Kmeans和Kmedoid算法、FCMclust, GKclust, GGclust算法 2. 评估分类原型:程序可以在二维图像上绘制出聚类的结果 3. 验证:程序给每一个算法提供验证机制,每个聚类算法会统计Partition Coefficient (PC), Classification Entropy (CE), Partition Index (SC), Separatio
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image color segmentation using Euclidean and Mahalanobis methods
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基于kmeans的图像分割算法,首先得到图像,再确定分类,并计算各分类的均值,从而得到各个像素的分类。-Kmeans-based image segmentation algorithm, first of all get the image, and then determine the classification, and calculate the various categories mean, and thus obtain the classification of each pi
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图像分类软件,用MATLAB语言编写,可实现对象的分类和匹配识别-Image classification software used MATLAB language, enabling the object classification and matching recognition
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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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This a very helpful toolkit for matlab beginners. It includes algorithm for pattern classification, as well as image processing.-This is a very helpful toolkit for matlab beginners. It includes algorithm for pattern classification, as well as image p
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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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用于文本分析和分类的pLSA(Probability Latent Semantic Analysis)的Matlab算法,含有测试数据及算法原理介绍。也可用于图像分析。相比原来的版本,增加了示例程序demo.m,以实现可视化效果,用户更容易使用和理解pLSA算法。-For text analysis and classification of pLSA (Probability Latent Semantic Analysis) of the Matlab algorithm with tes
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基于matlab环境的SVM程序,SVM可用于分析小样本,以做遥感影像的分类处理-Matlab environment based on SVM procedure, SVM can be used to analyze small samples to make remote sensing image classification
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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
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关于遥感图像分类方面的程序源代码 有主成分分析,神经网络等方法-Remote sensing image classification on the program source code is the principal component analysis, neural network, the
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数字图像处理及实例应用,包括图像的边缘检测,阈值分割算法,文字与非文字区域的划分-And examples of digital image processing applications, including edge detection, threshold segmentation algorithm, text classification with non-text area
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图像处理,包括图像特征提取,图像分类,图像归一化-Image processing, including image feature extraction, image classification, image normalization, etc.
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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.
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