搜索资源列表
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支持向量机纹理图像分类，自己写的，非常不错-Support vector machine texture image classification, write your own, very good
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LLC做的图像分类算法，非常经典的图像分类算法。属于Bag-of-Feature模型，采用的是SIFT特征描述组。-LLC do image classification algorithm, belonging to the Bag-of-Feature model using the SIFT descr iptor group
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k均值算法的程序，主要用于图像处理中的图像分类-k-means algorithm, program, mainly for image processing, image classification
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图像分割，形态学处理，特征提取，识别分类-Image segmentation, morphological processing, feature extraction, recognition classification
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图像处理中的区域检测，可以准确的分辨不用的图像区域。可以用在做图像分类等应用。里面有相关注释。-Area detection in the image processing, can accurately distinguish between the unused area of the image. Can be used in applications such as image classification. There are related Notes.
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用于遥感图像分类处理的一个基于C++的遗传算法聚类程序-For remote sensing image classification based on genetic algorithm clustering procedure of the C++
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一种基于纹理特征分析的遥感图像分类C++程序-Based on the analysis of texture characteristics of remote sensing image classification C++ program
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经典随机梯度下降SVM，一个简单易读的线性分类器代码，执行速度快，分类准确率也不错，适用于大规模图像分类。-The classic stochastic gradient descent SVM, a linear classifier code easier to read, faster execution speed, good classification accuracy, suitable for large-scale image classification.
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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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应用于图像分类编码中硬投票与软投票两种算法的实现与比较-Implementation and comparison of hard to vote with soft voting two algorithms applied to image classification and coding
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对遥感影像进行增强，平滑去噪等，还包括K均值分类-Remote sensing image enhancement, denoising, also including the K-means classification
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小波变换之基于小波多尺度统计特征的图像分类-Image classification based on wavelet multi-scale statistical characteristics
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提取图像的sift特征，将图像的高维特征提取出来，进行量化。实现图像的分类、匹配、检索。-Sift image feature extraction, image classification, matching, retrieval.
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使用C#实现的SIFT算子；SIFT目前最流行的图象特征表示方法，在图象分类，对象领域有广泛应用-Using C# implementation of SIFT operator SIFT currently the most popular method of image feature representation in image classification, object fields have extensive application
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数字图像处理模式识别分类Visual C++源代码-Digital image processing pattern recognition classifier Visual C++ source code
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LRC是线性表示分类，主要是对图像分类的线性判别分析。-LRC is a linear representation classification, mainly for image classification linear discriminant analysis.
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提供了三类场景“bedroom”、“CALsuburb”、“industrial”的样本特征集以及原始图像，分别用线性分类器、树状分类器、SVM分类器以及AdaBoost分类器对其进行区分。其中AdaBoost分类器有部分内容调用了Vezhnevets Alexander编写的源码-Provides three types of scenes " bedroom" , " CALsuburb" , " industrial" sample fea
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将常见的图像配准方法分为基于图像灰度的方法和基于图
像特征的方法两大类。 以此为分类基础， 对国内外现有的图像配准技术和方法进行了分析和评述，
并重点介绍了基于图像特征的配准方法。-The common method for image registration based on image gray into the methods and methods based on image features two categories. As a classification based
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计算图像矩,以及根据图像矩阵进行图像的分类-Calculation of image moments, and the image based on the image classification of the matrix
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为支持向量机设计了一种新的直方图核函数运用在图像分类上取得不错的效果。-The paper designed a new histogram kernel function for support vector machines which achieved good results in image classification .
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