搜索资源列表
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计算图像纹理共生矩阵及共生矩阵相关系数、熵等几个特征值，供后续的分类识别应用。提供了友好的操作界面。觉得最好的应用就是用于人脸识别的样本训练。-calculated image texture symbiotic matrix and symbiotic correlation coefficient matrix, some features, such as entropy values for the follow-up to the recognition and classificat
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High information redundancy and correlation in face images result in efficiencies when such images are used directly for recognition. In this paper, discrete cosine transforms are used to reduce image information redundancy because only a subset of t
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Image Recognition and classification
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主要讲述基于图像的形状分析和分类的理论和实践方法，是图像处理和模式识别方面的好书-Mainly about theory and practice for image-based shape analysis and classification. A good book for image processing and pattern recognition.
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Image Recognition and Classification by bahram jaividi
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采用图像识别和分类判定绝缘材料憎水等级By image recognition and classification of insulating material hydrophobic level-By image recognition and classification of insulating material hydrophobic level
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使用flda进行图像识别与分类，非常简练，而且注释清晰-Use flda image recognition and classification, very concise and clear comments
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卷积神经网络，用于图像的识别分类，对图像的旋转平移，畸变具有很强的容忍性。-Convolutional neural network for image recognition and classification, has a strong effect
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用于医学3D大脑图像组织的识别和分类，包括CSF,White Matter,和Gray Matter。基于matlab的GM 算法。-3D brain tissue for medical image recognition and classification, including CSF, White Matter, and Gray Matter. matlab algorithm based on the GM.
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在对图像进行识别和分类过程中，相似性测量可以作为一种判别策略，目的是刻画图像之间的本质特性。-In the image recognition and classification process, the similarity measure can be used as a discriminating strategy aimed portray the essential characteristics of images.
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Gabor,GMRF,LBP纹理特征提取方法_MATLAB,可以用来提取图像特征，用来做图像识别和分类-Gabor, GMRF, LBP texture feature extraction method _MATLAB, can be used to extract image features, used to do image recognition and classification
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最新的基于卷积神经网络和字典对分类器的图像识别与分类算法资料-Image recognition and classification algorithm based on convolution neural network and dictionary classifier
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灰度共生矩阵用于提取图像的特征，用于图像识别和分类(Gray level co-occurrence matrix is used to extract the features of images, and is used for image recognition and classification)
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分别采用有边缘和无边缘两类图像作为样本库，使用用Hu不变矩对图像进行特征提取，并使用K近邻分类法进行分类和识别。(Two types of images with edges and no edges are used as the sample library, the images are extracted using Hu invariant moments, and the images are classified and identified by K nearest neighb
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神经网络训练文字识别使用的java实现----------(neural network The texture feature extraction of image is a foundational work for image recognition and classification)
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识别并提取图像中的SIFT特征点，用于图像识别和分类(Identify and extract the SIFT feature points in the image for image recognition and classification)
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检测并提取图像的SIFT特征，用于图像识别和分类(Identify and extract the SIFT feature points in the image for image recognition and classification)
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主成分分析，提取图像中的SIFT特征点，用于图像识别和分类(Principal component analysis (PCA), extracting SIFT feature points in images for image recognition and classification)
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用于SAR图像识别与分类的官方MSTAR图像集，百度云链接，永久有效，2GB。(Official MSTAR image set for SAR image recognition and classification, Baidu cloud link, permanently valid, 2GB.)
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vgg深度学习，图像识别，用于图像的分类，在python上运行(vgg deep learning, image recognition, used for image classification, running on Python)
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