搜索资源列表
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计算机图像真实性检测。包含关键的特征提取部分，里面有说明文件-Computer image authenticity detection. Documentation, which contains the key feature extraction part
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基于matlab的高帽变换，能很好地对图像进行一定的处理，实现图像的增强，线性特征的提取，为后续的处理做准备-Matlab-based top-hat transform good image processing, image enhancement, linear feature extraction, to prepare for subsequent processing
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实现了人脸识别的功能，特征提取，人脸图像预处理、K-L变换、特征提取及分类器设计，全自动的人脸自动识别系统-Face recognition, feature extraction, face image preprocessing, KL transform, feature extraction and classifier design, automatic automatic face recognition system
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本程序用于寻找图像中的圆形，属于特征提取的类型-This procedure is used to find the image in the round, belongs to the type of feature extraction
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一个基于FSVM的人脸识别程序，用PCA提取特征，进行识别，里面包含原始的人脸图像-A based on FSVM face recognition program, using PCA feature extraction, identification, which contains the original face image
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以数字与字母识别系统的基本处理流程为主线，从待识别数据的获取入手，通过预处理、特征的提取与选择，到分类器的设计等部分都进行了较为详尽的分析与研究，MATLAB仿真实验表明；采用最小距离法对所给出的一组数字及字符图片进行不同的分块识别，最终得出分8块识别率为85.71 ；分16块识别率为95.71 ；分20块识别率为95 ；具有较高的识别率。-The basic process flow of the numbers and letters recognition system as the ma
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This paper has a further exploration and study of visual feature extraction. According to the HSV (Hue, Saturation, Value) color space, the work of color feature extraction is finished, the process is as follows: quantifying the color space in non-eq
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有关于医学图像的纹理特征提取，希望对大家有用-About the medical image texture feature extraction, in the hope that useful to everybody
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基于半监督KPLS的概率聚类核，是用matlab编写的一个工具箱，可参考论文：Semisupervised nonlinear feature extraction for image classification和Semisupervised kernel orthonormalized partial least squares-Semisupervised KPLS with Probabilistic Cluster Kernel [SS-KPLS]
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The goal of Optical Character Recognition (OCR) is to classify optical patterns (often contained in a digital image) corresponding to alphanumeric or other characters. The process of OCR involves several steps including segmentation, feature extracti
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基于纹理特征的图像检索源码，通过双树复小波进行纹理特征提取-Texture-based image retrieval source, through the dual tree complex wavelet texture feature extraction
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采用PCA提取人脸特征,先计算M个图像的平均值脸，再求出各特征值脸。-Using PCA for face feature extraction, first calculate the average face image of M, and then find the face value of each characteristic.
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图像的颜色特征提取，通过选择合适的阈值，将对象从复杂背景中提取出来-Image color feature extraction, by selecting the appropriate threshold, the object is extracted from complex background
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特征提取实例中的确定圆形目标源程序，能有效提取出图像中的圆形目标，并标记-Feature extraction instance to determine circular target source, can effectively extract the image of circular target, and mark
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基于Gabor滤波的纹理特征提取程序，用于图像分割-Texture feature extraction based on Gabor filter program, used for image segmentation
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The graphical user interface attached gives the output for brain tumor detection by preprocessing feature extraction and classification.it also gives whether the image is normal or affected
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A digital image watermarking scheme must be robust against a
variety of possible attacks. In the proposed approach, a new
rotation and scaling invariant image watermarking scheme is
proposed based on rotation invariant feature and image
norma
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LBP特征提取的MATLAB实现，其getmapping.m定义了lbp三种不同的模式，而lbp.m则是lbp的实现，当然它只是简单的整幅图像的lbp变换（没有分区域），其中很巧妙地运用了整体移动的方法计算lbp值。-LBP feature extraction MATLAB, which getmapping.m defines lbp three different modes, while lbp.m is lbp realize, of course, it simply lbp tra
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基于内容的图像检索的sift特征提取的相关代码的压缩文件-Content-based image retrieval sift feature extraction of the relevant code of compressed files
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The basic steps of the edge-based text extraction algorithm are given below
1. Create a Gaussian pyramid by convolving the input image with a Gaussian kernel
and successively down-sample each direction by half. (Levels: 4)
2. Create directiona
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