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采用经典的PCA对人脸图像进行特征提取,用SVM分类器进行分类。-Classic PCA face image feature extraction, classification with the SVM classifier.
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Many state-of-the-art approaches for object recognition
reduce the problem to a 0-1 classifi cation task. Such re-
ductions allow one to leverage sophisticated classifi ers for
learning. These models are typically trained independentl
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gmkl算法源码,广义多核学习,可用图像多类分类。-gmkl algorithm source, the a generalized multicore learning, free image multi-class classification.
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在图像识别技术的实现过程中,图像分割是一个重要的预处理环节,图像分割效果,直接影响着后续的分类、目标识别、图像分析、图像理解等过程的结果。针对着不同的图像特点,目前已经提出了错综复杂的图像分割算法。其中基于图论的图像分割算法是近几年研究的热点,这类算法着眼于全局,更注重局部数据的处理,比一般方法可以获得更佳的效果,并且图论理论有着比较完备的数学理论基础,将其用于图像处理有着较好的应用前景。-In the implementation process of image recognition te
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不同分类结果构成不同的商空间,根据粒度合成理论将这些商空间组织起来进行合并,得到SAR 图像的最终分类结果-The final classification results of different classification results of which form the quotient space, according to the granularity synthesis theory these quotient space organized merge SAR image
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数字图像处理和监督分类基本操作。包括点运算、几何变换、图像增强、频域滤波、彩色图像处理,形态学变换、图像分割、特征提取、识别初步等。- The basic operation of digital image processing and supervised classification. Including point arithmetic, geometric transformation, image enhancement, frequency domain filtering, co
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矩特征主要表征了图像区域的几何特征,又称为几何矩, 由于其具有旋转、平移、尺度等特性的不变特征,所以又称其为不变矩。 利用不变矩进行识别与分类-Moment feature is mainly characterized by the geometric features of the image area, also known as geometric moments, due to its rotation, translation, scaling, and other characte
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《图像模式识别之VC++技术实现》这本书的分类程序源码,希望对大家有用!-" The image pattern recognition VC++ technology source book classification procedures, and hope to be useful!
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为非监督分类的一种——K均值算法,这里设定的适用于灰度图像,分类后的图像在显示的同时保存在D盘-A non-supervised classification- K-means algorithm, set applies to gray image, classified image display while stored in the D drive
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采用PCNN和ICM进行图像特征提取并去噪时所采用分类方法-Classification method using image feature extraction and denoising using PCNN and ICM
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图像自相似性计算。基于全局的图像自相似性计算的目标检测-
Global and Efficient Self-Similarity for Object Classification and Detection
From the methods in [1] this code allows to compute self-similarity
hypercubes (SSHs). These SSHs can be obtained from a prototype
as
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该程序可以实现基于K均值算法对彩色遥感图像(如SPOT)进行非监督分类
可以输入分类类别数,程序自动生成分类后的遥感专题图-The program can be achieved based on the K-means algorithm unsupervised classification of color remote sensing image (SPOT), you can enter the number of the categories, the program autom
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細線化演算法,以便提供影像辨識的分類處理-Thinning algorithm in order to provide the classification of the image recognition processing
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计算图像的灰度共生矩阵,及相关的纹理信息,主要用于图像检索和分类-Calculate the image gray level co-occurrence matrix, and the texture information, mainly for image retrieval and classification
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遥感分析,一是目视解译,二是计算机信息提取,计算机提取包括自动分类、纹理识别、图像分割、还有面向对象的信息提取-Remote sensing analysis, one is visual interpretation, the two is the computer information extraction, automatic classification of computer includes extraction, texture recognition, image segmen
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实现运动模糊图像的复原,可检测伪造图像,并且分类出伪造子块-Achieve motion-blurred image restoration, image forgery can be detected, and the classification of counterfeit sub-block
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实现了SVM算法对图像监督分类,用户需要自己设定参数。-Achieve a supervised classification SVM algorithm for image, you need to set their own parameters.
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k 均值算法用于图像分割,根据灰度图自适应地确定分类数并进行分割,需要先用k均值初始化-k’-means algorithm for image segmentation, based on grayscale adaptively determine the number of classification and segmentation, you need to use the k-means initialization
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在matlab中进行图像处理,转化为二值图并进行分类-In matlab for image processing, into a binary image and classification
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改文件包含了图像处理的工具,包括特征提取和聚类和分类算法。-Change the file contains image processing tools, including feature extraction and clustering and classification algorithms.
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