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This code is useful for object image classification
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图像注释有多种方法。
目前主要有三种方法:基于对象分割的图像注释方法、基于固定大小分块的图像注释方法以及分类方法。本文将综述当前该
领域的研究现状。-are,Image annotation based On object segmentation,image annotation based on fixed-size
image partition and image classification.This paper will summarize the research st
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texture based image analysis
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快速稀疏svm算法实现图像分类,有需要者可以共同讨论-Fast sparse svm algorithm for image classification, there are those who need to discuss
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Gaussian process and its applications in hyperspectral image classification
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空间约束半监督高斯过程下的高光谱图像分类
-Space constraints Semi-supervised hyperspectral image classification under the Gaussian process
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极化SAR图像分类数据,数据为T矩阵,为原始数据部分图像,包括free分解后数据以及各分量数据-Polarization SAR image classification data, data for the T matrix, part of the image to the original data, including the breakdown of free data and each component of the data
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高分辨率遥感影像的支持张量机分类方法,此方法能够利用少量的训练样本实现更优的分类精度。-Support tensor machines resolution remote sensing image classification method, and this method can use a small amount of training samples to achieve better classification accuracy.
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讲述了图像的一种新颖的空间信息描述指标,对图像分类提取等有很大用处,特别是对高分辨率图像。-The novel tells the story of an image of the spatial information descr iptors for image classification extraction have great usefulness, especially for high-resolution images.
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在图像分类与识别算法研究中,目标几何特征的提取通常需要计算目标图像的最小外接矩形以获取长、宽等属性。针对该特点,
提出一种利用顶点链码与离散格林理论相结合的方式提取目标图像的最小外接矩形的算法。该算法只需根据顶点链中垂直或水平方向上的
点坐标即可求出目标的面积、形心和主轴。基于顶点链码和离散格林的主轴法和旋转法可快速求出目标的最小外接矩形。实验结果表明,
旋转法的运算速度是现有算法的 2 倍左右,主轴法的速度又比旋转法快速 2 倍左右-In the image classificat
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A hybrid approach combining extreme learning machine and sparse representation for image classification
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Four crucial issues are considered by the proposed HoAL: 1) unlike binary cases, the selection granularity for multilabel active learning need to be fined from example to examplelabel pair 2) different labels are seldom independent, and label correla
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包含了SIFT详解,对于初学图像分类,场景识别有很大帮助-Contains a detailed SIFT, for beginners of image classification, scene recognition is of great help
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对图形图像的预处理算法,模式分类算法,是一本对图像处理工程全面的知识详细做了分析的书-Pre processing algorithms on graphics, pattern classification algorithms, is a Book of knowledge engineering comprehensive image processing with the analyses of the book
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针对目前传统的枸杞分级主要采用人工方法, 费时费力且效率不高的缺点, 提出了一种基于机器视觉技术对枸杞
进行自动分类的方法。 采用数字图像处理技术对枸杞图像进行了预处理、 分割 , 从而提取枸杞的色泽、 大小及形状等特征
参数; 用 K-means 算法对特征进行聚类, 得到枸杞相应等级的基准; 根据聚类分析得到的基准采用最小距离分类器对枸杞
进行分级。 实验结果表明 , 该方法能够准确快速地对不同色泽和大小的枸杞进行分类。-Traditional wolfberry sorting
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图像的分类技术,自己写的很好的啊 -Image classification techniques, to write a good ah ah write their own good
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matlab code for image classification and retraival
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基于支持向量机方法的图像分割与目标分类.介绍了支持向量机用于车辆图像分类。以及用于单目标图像的分割和多目标图像的分割,介绍的较为详细。-Method of image segmentation based on support vector machine (SVM) and the target classification. This paper introduces the support vector machine (SVM) is used to vehicle image clas
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本文档包含了对视频分类的方法论文,先提取视频中音频信息和图像信息,然后进行拼接并使用PCA进行降维处理,最后使用高斯联合模型进行学习和分类-This document contains papers on the video classification method, first extract the video audio information and image information, and then stitching using PCA dimension reduction,
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作为一种优秀的纹理特征提取技术,多重分形谱插值方法被提出用于图像的特征提取和分类。-As an excellent texture feature extraction technology, a multi-fractal spectrum interpolation methods have been proposed for image feature extraction and classification.
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