搜索资源列表
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HU的七阶不变矩,具有旋转,平移不变性,对图像描述稳定,,对于图像分类,匹配具有重要的作用,已通过测试。
-HU seven-order moment invariants, rotation, translation invariance, stable image descr iption for image classification match has an important role, has been tested.
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利用kmeans进行图像分类的matlab的实现-The realization of matlab kmeans image classification
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王兴刚和白翔合作发表的CVPR2011的文章, Feature Context for Object Detection and Image Classification,可以用于物体检测和图像的分类,用到了特征上下文,Feature Context-PROCEEDINGS and white Xiang cooperation the published CVPR2011 article Feature Context for Object Detection and Image Classi
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猫群算法在图像分类中的应用。猫群算法是一种比较新的算法,目前研究和使用的并不多。-The cats swarm optimization in image classification. Cat swarm optimization is a relatively new algorithm, not much research and use.
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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
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classification is Ok for the image segmentation.
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图像的非监督分类,主要包括K均值、FCM等-Unsupervised classification of images, including K-means, FCM
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斯坦福大学的姚邦鹏开发的一个图像分类算法,使用random forest实现了图像的精细区域描述,赢得了PASCAL VOC2011图像分类竞赛中的winner prize.经测试,程序完全可运行,且提供了MAC和Windows下的两种程序。-Image Classification: An Integration of Randomization and Discrimination
in A Dense Feature Representation
The goal of our m
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基于matlab R2010a的BP神经网络在遥感图像分类中的应用源代码-Application source code matlab R2010a BP neural network-based remote sensing image classification
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模式识别算法程序 K均值算法
主要是实现了K均值聚类分析算法,能够实现对图像的自动分类和识别。-Pattern recognition algorithm K-means algorithm K-means clustering analysis algorithms can achieve automatic image classification and identification.
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最小距离分类器,针对图像进行分类的算法,采用了模式识别的思想。-Minimum distance classifier for image classification algorithm, using the idea of pattern recognition.
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Local Linear Coding for Image Classification的代码-The code for the paper "Local Linear Coding for Image Classification"
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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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调用GDAL库实现模式识别的K均值和ISODATA算法,对图像的分类-Call GDAL library implementation of K-means and ISODATA algorithms pattern recognition, image classification
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基于图像检索的matlab代码,基于内容的图像检索中的一些关键环节:特征提取:颜色直方图;纹理特征等 相似度:马氏距离,欧氏距离等 相关反馈:机器学习方法,如SVM,神经网络等 检索与分类:两个很相似的样本距离很小,虽然两个不相似的样本距离未必很大-content-based image retrieval of some of the key issues : Feature Extraction : color histogram Texture characteristics of si
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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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Linear Spatial Pyramid Matching Using Sparse Coding 图像分类实现代码-Linear Spatial Pyramid Matching Using Sparse Coding image classification implementation code
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