Search - Image Recognition and Classification

Search - Image Recognition and Classification - List

[Graph program] image-textual-analysis DL : 0: 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 classification application. Provide a friendly interface. Think the best applications for the face recognition is a sample of training.
Update : 2008-10-13 Size : 88.61kb Publisher : leilin
[Graph program] image-textual-analysis DL : 0: 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 classification application. Provide a friendly interface. Think the best applications for the face recognition is a sample of training.
Update : 2025-02-17 Size : 88kb Publisher : leilin
[AI-NN-PR] svm DL : 0: svm程序代码，用于模式识别和分类，也可用于图像特征。-svm code for pattern recognition and classification can also be used to image features.
Update : 2025-02-17 Size : 168kb Publisher : chenxi
[Graph Recognize] SpPCA DL : 0: 利用Sub-pattern PCA在Yale人脸库上进行人脸识别的matlab源代码，子模式主成分分析首先对原始图像分块，然后对相同位置的子图像分别建立子图像集，在每一个子图像集内使用PCA方法提取特征，建立子空间。对待识别图像，经相同分块后，分别将子图像向对应的子空间投影，提取特征。最后根据最近邻原则进行分类。-Sub-pattern PCA use in the Yale face database for face recognition on the matlab source code, sub-mode principal component analysis first of the original image block, and then the same sub-image, respectively, the location of the establishment of sub-image set, in each sub-image Set the use of PCA to extract the features, the establishment of sub-space. Treatment to identify images, by the same block, the respective sub-image to the corresponding sub-space projection, feature extraction. Finally, according to the principle of nearest neighbor classification.
Update : 2025-02-17 Size : 2kb Publisher : 章格
[Graph Recognize] dctannprotected DL : 0: 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 the transform coefficients are necessary to preserve the most important facial features such as hair outline, eyes and mouth. We demonstrate experimentally that when DCT coefficients are fed into a backpropagation neural network for classification, a high recognition rate can be achieved by using a very small proportion of transform coefficients. This makes DCT-based face recognition much faster than other approaches.-High information redundancy and correlation in face images result in inefficiencies 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 the transform coefficients are necessary to preserve the most important facial features such as hair outline, eyes and mouth. We demonstrate experimentally that when DCT coefficients are fed into a backpropagation neural network for classification, a high recognition rate can be achieved by using a very small proportion of transform coefficients. This makes DCT-based face recognition much faster than other approaches.
Update : 2025-02-17 Size : 25kb Publisher : mhm
[matlab] ImageRecognitionandClassification DL : 0: Image Recognition and classification
Update : 2025-02-17 Size : 7.45mb Publisher : pedram poshtiban
[Special Effects] Shape-Analysis-and-Classification DL : 0: 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.
Update : 2025-02-17 Size : 9.49mb Publisher : fruitqin
[Graph Recognize] 2002-Image-Recognition-and-Classification-by-Bahr DL : 0: Image Recognition and Classification by bahram jaividi
Update : 2025-02-17 Size : 7.38mb Publisher : 若轲
[Mathimatics-Numerical algorithms] xy7z.ZIP DL : 0: 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
Update : 2025-02-17 Size : 670kb Publisher :
[Other] pattern-recognition.part1 DL : 0: 模式识别基础知识（1），主要针对图像处理中不同图像的检测与匹配-basically knowledge of pattern recognition. image recognition and classification of image processing.
Update : 2025-02-17 Size : 4.77mb Publisher : 某某
[Other] Image-Recognition-and-Classification.-Algorithms- DL : 0: Image Recognition and classification-Image Recognition and classification
Update : 2025-02-17 Size : 7.38mb Publisher : suchitra
[Special Effects] 5679753117KDDA DL : 0: 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
Update : 2025-02-17 Size : 736kb Publisher : billgx
[Other] convolutional_network.py.tar DL : 0: 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
Update : 2025-02-17 Size : 2kb Publisher : 王磊
[3D Graphic] GMM_classification_demo.m DL : 0: 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.
Update : 2025-02-17 Size : 1kb Publisher : 张洵水
[Graph Recognize] similaritymeasure DL : 0: 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.
Update : 2025-02-17 Size : 280kb Publisher : 李莉莉
[Other] Gabor-GMRF-LBP DL : 0: 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
Update : 2025-02-17 Size : 645kb Publisher : antry
[Special Effects] DPL-CNN DL : 0: 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
Update : 2025-02-17 Size : 14.5mb Publisher : 王仁杭
[2D Graphic] glcm DL : 0: 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)
Update : 2025-02-17 Size : 1kb Publisher : 子爵
[Special Effects] image recognition DL : 0: 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 neighbor classification.)
Update : 2025-02-17 Size : 2kb Publisher : 陆荏嘉
[AI-NN-PR] 神经网络 DL : 0: 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)
Update : 2025-02-17 Size : 3.8mb Publisher : 乐逍遥@Zhang

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