Description: 程序利用svm分类结合bp算法完成图像中的分类和预测问题,这是模式识别中的一个比较新颖的方法。-svm procedures for the use classification algorithm combining bp image classification and prediction, This is the pattern recognition of a relatively new method. Platform: |
Size: 1024 |
Author:bodiz2002 |
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Description: svm程序代码,用于模式识别和分类,也可用于图像特征。-svm code for pattern recognition and classification can also be used to image features. Platform: |
Size: 172032 |
Author:chenxi |
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Description: 支持向量机的工具箱,对于图像处理中的分类识别学习者有着很大帮助。分享快乐!-SVM toolbox for image processing in the classification and identification of learners have a great help to me. To share their happiness! Platform: |
Size: 125952 |
Author:hq |
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Description: 这是一个svm对图像分类的论文,很值得一看
基于SVM的图像分类算法与实现,他还说有具体的实现,很棒-This is a SVM for image classification of the papers, it is worth a visit SVM-based image classification algorithms and realize, he said concrete has achieved great Platform: |
Size: 136192 |
Author: |
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Description: 很好用的svm工具箱,dagsvm对于图像分类效果非常好,分类精度很高,代码清洗简单。-Good use of SVM Toolbox, dagsvm for image classification effect is very good, very high classification accuracy, code cleaning easy. Platform: |
Size: 5120 |
Author:tang |
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Description: 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. Platform: |
Size: 6144 |
Author:zhangpei |
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Description: 基于svm的图像识别技术,效果不错。可用于图像的分类-Svm-based image recognition technology, good results. Can be used for image classification Platform: |
Size: 677888 |
Author:jamie |
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Description: 本程序包括:论文SVM 用于基于块划分特征提取的图像分类,和相应的matlab实现其中图像划分以及特征提取、聚类均利用matlab6.5完成。
-The procedures include: paper by SVM for feature extraction based on block classification, and the corresponding realization of one image into matlab, and feature extraction, clustering were done using matlab6.5. Platform: |
Size: 173056 |
Author:darren |
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Description: 的研究彩色数字图像的计算机分类识别方法并应用于古瓷片的自动分类。方法提出
了一种色彩纹理特征的提取模型,采用该模型,利用IGabor滤波器提取数字图像的色彩纹理特征,
并构造支持向量分类机(SVM)分类器组。结果实现了高准确率多类别图像的自动分类识别,并
成功应用于古瓷片的自动分类。结论色彩纹理特征提取方法将颜色与纹理进行融合,增强了数
字图像之间的特征区分能力。-Study color digital image classification and recognition method and a computer chip used in the automatic classification of porcelain. Method presents a color texture feature extraction model, using the model, the use of IGabor filter extracts the color digital image texture features, and construct support vector classification machine (SVM) classifier group. Results to achieve a high accuracy automatic multi-class image classification and recognition, and successfully applied to automatic classification of porcelain pieces. Conclusion color texture feature extraction method for integration of color and texture to enhance the digital image characteristics between the ability to distinguish between. Platform: |
Size: 346112 |
Author:刘东 |
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Description: 基于神经网络的遥感图像分类取得了较好的效果,但存在固有的过学习、易陷入局部极小等缺点.支持向量机机器学习方法,根据结构风险最小化(SRM)原理,表现出很多优于其他传统方法的性能,本研究的基于多类支持向量机分类器的遥感图像分类取得了达95.4 的分类精度.但由于遥感图像分类类别多,所需训练样本较大,人工选择效率较低,为此提出以人工选择初始聚类质心、C均值模糊聚类算法自动标注训练样本的基于多类支持向量机的半监督式遥感图像分类方法,期望能在获得适用的分类精度的基础上有效提高分类效率-Neural net based remote sensing image classification has obtained good results. But neural net has inherent
flaws such as overfitting and local minimums. Support vector machine (SVM), which is based on Structural Risk Min-
imization(SRM), has shown much better performance than most other existing machine learning methods. Using mul-
ti-class SVM classifier high class rate of 95.4 is obtained. But for the class number of remote sensing image is much
great, manually obtaining of training samples is a much time-consuming work. So a multi-class SVM based semi-super-
vised approach is presented. It is choosed that the initial clustering centroids manually first, then label the samples as
the training ones automatically with fuzzy clustering algorithm. It is believed that this method will upgrade the classifi-
cation efficiency greatly with practicable class rate Platform: |
Size: 25600 |
Author:cissy |
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Description: 基于SVM的图像分类,由于支持向量机的分类能力极大地依赖于核参数的选取,因此,本文着重研究了核参数选择方法,并利用不同的颜色、纹理特征对图像进行分类。
-SVM-based image classification, the classification capability of SVM kernel parameters greatly depend on the selection, therefore, this paper focuses on the kernel parameter selection method, and use a different color, texture features for image classification. Platform: |
Size: 3573760 |
Author:ww1 |
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Description: 将svm分类与bp算法结合,针对图像中的分类预测问题提出一种算法-Svm classification the bp algorithm combines propose an algorithm for image classification prediction problem Platform: |
Size: 225280 |
Author:庞博 |
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Description: 用于主成分图像svm分类,简单,有很好的程序,适合初学者(SVM for principal component image classification, simple, there are very good procedures for beginners) Platform: |
Size: 7168 |
Author:一路平安
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Description: 本代码为图像检索时,要用到的代码, 采用SVM进行图像分类,有很大的作用。(The code for image retrieval, the code used, the use of SVM for image classification, has a great effect.) Platform: |
Size: 60247040 |
Author:Kovin
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Description: 使用HOG提取特征,SVM进行图像分类,可以进行两种以上分类(Using HOG to extract features and SVM for image classification) Platform: |
Size: 18534400 |
Author:yangyang123 |
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