Description: 支撑向量机的函数，可以用于识别、分类和分割，是很好的分类算法-Support Vector Machines function, can be used for identification, classification and segmentation, is a good classification algorithm Platform: |
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Author:zhangguoqing |
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Description: 本程序主要用于对视频场景基于语义进行分割,先用SVM向量机进行语义分类,然后再进行分割,效果很好-This procedure is mainly used for video scene segmentation based on semantics, first vector machine SVM semantic classification, and then further divided, well Platform: |
Size: 2050048 |
Author:lijun |
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Description: 一种车牌图像校正新方法
【摘要】因摄像机角度而造成的机动车牌图像倾斜会对其后继的字符分割与识别带来不利的影响。本文在分析了车牌倾斜模式的基础上,提出了一种基于最小二乘支持向量机（LS-SVM）的车牌图像倾斜校正新方法。通过LS-SVM线性回归算法求取坐标变换矩阵并对畸变图像进行旋转校正。主要方法：首先,将二值倾斜车牌图像中的像素转换为二维坐标样本,并构造图像数据集 再通过LS-SVM线性回归算法对该数据集进行回归,求取主要参数 最后,再由该参数转换为能反映图像倾斜方向的2维坐标变换矩阵。实验结果表明,该方法简便实用,对光照、污迹等不敏感,抗干扰能力强。-New Method of a license plate image correction
Abstract caused due to camera angles, the image tilt motor vehicle license will have on its subsequent recognition of characters segmentation and adverse effects. Based on the analysis of the inclined plate model based on proposed based on least squares support vector machine (LS-SVM) of the license plate Skew new approach. By LS-SVM linear regression algorithm to strike a coordinate transformation matrix and rotate the image distortion correction. Main methods: First, the value of the two inclined plate in the image pixel is converted to two-dimensional coordinates of the sample, and construct the image data sets then the linear regression through the LS-SVM regression algorithm for the data set to strike a key parameter final , and then by the parameter is converted to reflect the tilt direction of two-dimensional image coordinate transformation matrix. The experimental results show that the method is simple and practical, to light, Platform: |
Size: 301056 |
Author:Leo |
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Description: 本文通过对Bayes、KNN、SVM 应用于中文文本分类进行比较实验研究。
应用ICTCLAS 对中文文档进行分词，在大维数，多数据情况下应用TFIDF 进行
特征选择，并同时利用它实现了对特征项进行加权处理，使文本库中的每个文本
具有统一的、可处理的结构模型。然后通过三类分类算法实现了对权值数据进行
训练和分类。-Based on the Bayes, KNN, SVM applied to compare the Chinese text categorization Study. Application ICTCLAS word segmentation of Chinese document, in large dimension, multiple-data cases where application TFIDF feature selection, and also use it to realize the characteristics of weighted items, so that each text text library with a unified, capable of handling structural model. Three types of classification algorithm then weights the data for training and classification. Platform: |
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Author:wulili |
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Description: 1.GeometricContext文件是完成图片中几何方向目标分类。
参考文献《Automatic Photo Pop-up》Hoiem 2005
2 GrabCut文件是完成图像中目标交互式分割
参考文献《“GrabCut” — Interactive Foreground Extraction using Iterated Graph Cuts》
C. Rother 2004
3 HOG文件是自己编写的根据HOG特征检测行人的matlab代码
4 虹膜识别程序是下载的一个通用的虹膜识别程序，可以运行
5 GML_AdaBoost_Matlab_Toolbox是一个很好用的adaboost matlab工具箱
6 libsvm-mat-2.91-1 是用C编写的改进的SVM程序，代码质量很高，提供了matlab接口
7 SIFT_Matlab 是编写的利用sift特征进行的宽基线匹配，代码质量高
8 FLDfisher 是利用fisher 线性降维方法进行人脸识别-1.GeometricContext file is complete the picture in the geometric direction of target classification. References " Automatic Photo Pop-up" Hoiem 2005 2 GrabCut the target file is an interactive segmentation of image reference " " GrabCut " - Interactive Foreground Extraction using Iterated Graph Cuts" C. Rother 2004 3 HOG documents prepared under their own HOG Characteristics of pedestrian detection matlab code 4 iris recognition process is to download a general iris recognition program, you can run 5 GML_AdaBoost_Matlab_Toolbox is a good use of adaboost matlab toolbox 6 libsvm-mat-2.91-1 is written in C to improve the SVM procedures, code of high quality, provides a matlab interface to 7 SIFT_Matlab is prepared for the use of sift features a wide baseline matching, the code is the use of high quality 8 FLDfisher fisher linear dimension reduction method for face recognition Platform: |
Size: 6918144 |
Author:张数 |
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Description: SVM实现数据分类，可自行选取核函数，用于图像分割操作。程序可自动训练分类平面。-SVM for data classification, are free to select the kernel function，For image segmentation operation. The program can automatically train classifiers plane. Platform: |
Size: 68608 |
Author:小哥 |
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Description: 一些使用支持矢量机进行图像分割的算法，以及相关的文献资料，打包下载的好东西哦-Some use support vector machine algorithm for image segmentation, and related literature, package download a good thing Platform: |
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Author:li |
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Description: SVM进行图像分割 使用OTSU阈值法 效果很好 分割出来直接是二值图像-SVM for image segmentation using the OTSU thresholding method works well split up directly from the binary image Platform: |
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Author:ARNO |
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Description: This the source code for stomachcancer detection using active contour segmentation and SVM classification method-This is the source code for stomachcancer detection using active contour segmentation and SVM classification method Platform: |
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Author:malathimalathi |
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Description: 基于支持向量机方法的图像分割与目标分类.介绍了支持向量机用于车辆图像分类。以及用于单目标图像的分割和多目标图像的分割，介绍的较为详细。-Method of image segmentation based on support vector machine (SVM) and the target classification. This paper introduces the support vector machine (SVM) is used to vehicle image classification. And for single target image segmentation and target image segmentation, introduced detailed. Platform: |
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Author:赵凡 |
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Description: 这是一个基于支持向量机的图像分割程序，其中有演示图片，自己亲自实验过，可以自己选择样本点，很好用。-This is a program for image segmentation based on support vector machine, which can be used to demonstrate pictures Platform: |
Size: 834560 |
Author:王明朗 |
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Description: 利用支持向量机进行图像处理，将图像分割并且提出所需要部分-Using support vector machine (SVM) for image processing, image segmentation and need parts Platform: |
Size: 26624 |
Author:张继洲 |
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Description: 利用支持向量机对图像进行分割，标注背景和目标图像训练点，再进行SVM的训练。-SVM for image segmentation, image annotation background and objectives of the training points, then SVM training. Platform: |
Size: 1024 |
Author:longyhe |
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Description: Glaucoma detection using SVM classifier and CDR And RDR Ratios as features. It uses Neuro Retinal rim extraction using otsu segmentation algorithm and ISNT mask generation For Calculation RDR. After SVM will used for classifying patient as glaucomatic or not Platform: |
Size: 2882560 |
Author:Neethu |
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Description: 基于分割的局部Sigma语义特征点，是对场景中的语义目标进行建模。先在传统的图像分割基础上，分割出场景的前景目标，再结合像素位置、颜色、Gabor特征和LBP特征[构造出表征目标语义信息的协方差描述子，最后将其转换成欧式空间下的Sigma点特征，适用于标准SVM的场景学习和分类。(The segmentation based local Sigma semantic feature points are modeling the semantic objects in the scene. In the traditional image segmentation based on the segmented foreground scene, we combine with the pixel location, color, Gabor and LBP feature [construct covariance descriptor represents the target semantic information, and finally converted into Euclidean space Sigma features, suitable for learning and classification standard to the scene SVM.) Platform: |
Size: 60416 |
Author:delphi_zmy
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Description: 用于医学图像的支持向量机分割，没有嵌套，简单易懂，对学习聚类分割有很大的帮助(Mean clustering segmentation for medical images, no nesting, easy to understand, great help for learning clustering segmentation) Platform: |
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Author:墨墨sky |
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Search - svm for segmentation