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图像细化一般作为一种图像预处理技术出现,目的是提取源图像的骨架,即是将原图像中线条宽度大于1个象素的线条细化成只有一个象素宽,形成 骨架 ,形成骨架后能比较容易的分析图像,如提取图像的特征.-image thinning as a general image preprocessing technologies emerging, is the source of images from the frames, that is, lines of the original image width
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目前该手写体识别系统主要分为 预处理模块: 主要包括训练数据和识别数据的读取,归一化,二值化 特征提取模块:主要包括笔划方向特征和网格密度特征,还可以根据对识别率的要求继续增加其他特征 识别(分类器)模块:主要包括SVM方法和BP神经网络的方法,其中SVM方法的识别率较高,SVM+网格密度特征, 在小字符集情况下,达到了识别率97%以上 采用OO思想编写,适合做二次开发-currently the handwriting recognition system consists of pretre
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合成孔径雷达目标的特征提取及其识别技术。国防科大写的!-synthetic aperture radar target feature extraction and recognition technology. Written by which this university!
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VC图像处理及各种应用程序集合,包括图像的各种变换,图像分割,图像识别,特征提取等多种应用-VC various image processing and application pool, including the transformation of images, image segmentation, image recognition, feature extraction and other applications
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用MATLAB编程来实现语音信号中D比的计算,D比在说话人特征提取中有应用-MATLAB programming to voice signals over the D, D than in the Speaker feature extraction Applications
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这次上传的代码是关于几种常用特征提取方法的对比代码。-this code is uploaded on several common feature extraction methods contrast code.
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This class library contains more than 20 classes including feature extraction algorithms (MFCC, LPCC) and modeling techniques (HMM, GMM, DTW, VQ ) for automatic speech recognition and speaker verification
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利用HOUGH变换提取边界特征,还有SOBEL算子的算法也一并附上.-use feature extraction border, SOBEL Operator algorithm also accompanied.
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Extraction characteristics of the speech signal
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Extraction characteristics of the speech signal Energy, Pich
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各种信号特征提取,最大值,最小值,均值,商(Signal feature extraction)
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提取图像边缘特征,应用于人脸识别,图像特征区域提取。(Extracting image edge features and applying it to face recognition, image feature extraction)
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光学SAR等遥感影像多通道的二叉树构建。每个节点代表一个对象,对象从精到粗分别代表像素和整幅图像。同时提取了对象基元的颜色,纹理和结构特征。(This is an source code for the CBPT construction and local color, texture and structure descr iptors extraction)
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auido 时域特征提取,并练习matlab gui(Auido time domain feature extraction and practice Matlab GUI)
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extraction features algorithm
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l利用SIFT算法提取图像特征点,然后对图像进行匹配。(Extract the feature points of image and then match the images)
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音频的特征提取,是用python写的,里面有readme可以查看(audio features extraction)
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To extract features from a image
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灰度共生矩 阵即为灰度级的空间相关矩阵,以其为基础的统计方法通过对矩阵统计量的求取较好地提取到了纹理特征,通过选取关键参数编程并进行仿真实现,分别求取了四个方向的灰度共生矩阵及其特征量来分析图像 的纹理特征。(The gray level co-occurrence matrix is the gray level spatial correlation matrix. Based on the gray level co-occurrence matrix, the texture featu
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图像的形状特征一般是在物体从图像中分割出来以后进行分析,形状特征描述与尺寸测量结合起来可以作为区分不同物体的依据。形状特征有两类表示方法,一类是边界特征,另一类是区域特征。图像的轮廓特征主要针对物体的外边界,而图像的区域特征则关系到整个形状区域。(The shape feature of an image is generally analyzed after the object is segmented from the image. The combination of shape fea
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