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This paper aims to present a survey of object recognition/classification methods based on image moments. We review various types of moments (geometric moments, complex moments)
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基于粗糙集的图像语义自动标注分类算法代码-Image semantic auto-tagging based on rough set classification algorithm code
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图像场景分类的bow模型opencv源代码，采用k-means聚类构造单词，采用支持向量机的svm分类器。-Image scene classification bow model opencv source code, using k-means clustering structure of words, using support vector machine svm classifier.
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遥感原理实习，K均值分类，以及图像基本操作，打开保存等-Remote Sensing Principles internship, K-means classification, and image basic operations, such as open saved
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lsb算法，载体图像处理分类比较，将图片按位分层-lsb algorithm, the carrier image processing classification comparison, the picture stratified by bit
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基于图像分析的PCB缺陷检测算,采用Visual C++ 6.0进行编程，实现了精确定位、快速准确检测缺陷并标注缺陷及缺陷分类等功能.
-Image analysis based PCB defect detection operator, using Visual C++ 6.0 programming, to achieve precise positioning, rapid and accurate detection of defects and marked defects an
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基于DCT域的鲁邦水印算法，原始图像分块DCT变换，基于纹理掩蔽特性的块分类，产生水印并嵌入提取-Lupin based DCT domain watermarking algorithm, the original image block DCT, texture classification based on block masking characteristics, generate and embed a watermark extraction
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影像边缘检测，可用于检测影像的边缘信息，用于遥感解译与分类。-Image edge detection, can be used to detect image edge information for remote sensing interpretation and classification.
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该方法对路面破损图像的灰度、纹理、边缘、形状等多种特征进行了定性和定量分析，选择出能够准确描述路面破损目标特性的关键特征，并通过多种融合规则和融合方法对这些特征进行融合，最终实现路面图像的准确分类和破损目标的精确分割-Three dimensional object recognition and classification using range and texture image
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主要实现了高斯-gabor小波的匹配,两者的结合使其在分类的效率得到提高，适用于图像处理的分类和识别-The main achievement of matching Gauss-gabor wavelet, so the combination of the two categories of increased efficiency, suitable for classification and identification of image processing
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利用VB與VC程式整合開發實現影像物體分類辨識的PLC輸送帶系統-VB and VC use of integrated development programs realize image object classification identification conveyor system PLC
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局部二进制模式，LBP，是已被用于纹理特征的一个
分类。在本文中，提出了一种基于使用这些功能的方法
检测缺陷图案的面料。在培训阶段，在第一个步骤LBP算子是
施加到无缺陷织物样品，逐个象素和参考的所有的行（列）
特征矢量的计算。那么这个图像被分为Windows和LBP算子是
应用这些窗口的每一行（列）。根据与参考比较
特征向量一个合适的阈值，无缺陷的窗户被发现。在检测阶段中，一个
测试图像被划分成的窗户，并使用阈值时，有缺陷的窗口可以
检测到。该方
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基于MATLAB的树叶图像特征分类识别，图像分析处理 分割 特征提取 分类识别等-MATLAB-based leaf image feature classification, image analysis and processing, such as segmentation feature extraction classification
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work-piecehu.rar基本功能：图像预处理，去除阴影，之后利用hu矩，SVM分类。 -The basic function of the work-piecehu.rar: image preprocessing, shadow removal, followed by Hu moment, SVM classification.
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(1)Bayes分类
已知N=9， =3，n=2，C=3,问x= 应属于哪一类？
(2)聚类
使用c－均值聚类算法在IRIS数据上进行聚类分析
(3)鉴别分析
在ORL或Yale标准人脸数据库上完成模式识别任务。
用PCA与基于核的PCA（KPCA）方法完成人脸图像的重构与识别试验。-(1) Bayes classification
Known N = 9, = 3, n = 2, C = 3, x = should ask which cat
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非监督分类的K-MEANS，遥感图像处理中常用。-Unsupervised classification K- MEANS, is commonly used in remote sensing image processing.
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object tracking and detection in video image processing. classification of objects in video.
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object tracking and detection in video image processing. classification of objects in video.
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object tracking and detection in video image processing. classification of objects in video.
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object tracking and detection in video image processing. classification of objects in video.
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