Description: 使用支持向量机（svm）方法进行图像的单视度量(single view metrology)的vc++（需要用到wxwindows2.4.2）和matlab源代码.-The use of support vector machine (svm) method as the measure of a single image (single view metrology) of vc++ (Needed wxwindows2.4.2) and matlab source code. Platform: |
Size: 19456 |
Author:余晖 |
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Description: 这是一个很好的支持向量机工具箱，它可用于模式识别，图像识别，文字识别，语音识别和手写体识别等领域。-This is a very good support vector machine toolbox, it can be used for pattern recognition, image recognition, text recognition, speech recognition and handwriting recognition and other fields. Platform: |
Size: 4445184 |
Author:李全林 |
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Description: Support Vector Machine Classifier(SVM)
基于支持向量基的图像分类方法，程序变得很好，国外网站上下的，是一个完整的工程-Support Vector Machine Classifier (SVM) based on support vector-based image classification methods, procedures have become very good, abroad site from top to bottom, is a complete project Platform: |
Size: 8192 |
Author:haoyubao |
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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: 为了提高白细胞自动识别算法的性能,提出了基于均值移动和单类支持向量机的血细胞图像分割新方法. 该方法的原理是将图像中颜色相对稳定的背景和红细胞部分像素作为正训练样本,将颜色复杂多样的白细胞像素作为异常数据检测. 均值移动过程用来在红、绿、兰(RGB) 颜色空间寻找正训练样本集,通过均匀抽样和颜色量化措施,实现单类支持向量机(SVM) 在线实时训练,最终图像像素经过单类SVM 分类来实现分割. 实验表明,新方法对涂片制备和光照变化导致的图像颜色改变有很好的适应性,图像分割精度优于常用流域算法,而耗时只是后者的1/ 4.-In order to improve the performance of automatic recognition of white blood cells, was proposed based on mean shift and single-class support vector machine blood cell image segmentation. The principle is relatively stable color image in the background and the red part of the pixel as being Platform: |
Size: 440320 |
Author:罗朝辉 |
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Description: 提出一种基于支持向量机( SVM)和遗传算法(GA)的离散余弦变换(DCT)域盲数字图像水印方法. 该方法能自适应于图像的局部特征. 依据图像块的局部特性,利用SVM对图像块分类,自适应地确定水印嵌入强度, GA用来优化水印嵌入位置. 实验结果表明该方法有较好的不可见性和较强对抗攻击的鲁棒性.-Based on support vector machine (SVM) and genetic algorithm (GA), discrete cosine transform (DCT) domain blind digital image watermarking method. The method adaptive to local image features. Based on the local characteristics of image block using the SVM the image block classification, adaptive to determine the embedding strength, GA to optimize the watermark embedding location. The experimental results show that the method has good invisibility and robustness of the strong against the attacks. Platform: |
Size: 449536 |
Author:郭事业 |
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Description: 指纹图像的质量测量与评价,在指纹图像分割、增强及指纹匹配等环节都有重要应用. 同时,指纹图像的质量分类,对指纹识别算法的适用性研究也有重要意义. 本文提出一种基于支持向量机的指纹图像质量分类方法.该方法选择梯度、Gabor特征、方向对比度等指标,利用支持向量机有效实现指纹图像质量分类. 并采用少类样本合成过采样技术( SMOTE)降低指纹图像质量好坏的类别不平衡问题对分类的影响. 理论分析和实验结果都表明该方法能够较为有效地提高指纹图像质量分类的正确率.-Fingerprint Image Quality Measurement and evaluation, in the fingerprint image segmentation, enhancement and fingerprint matching has important applications such links. Meanwhile, the quality of fingerprint image classification, on the applicability of fingerprint recognition algorithm is also important. In this paper, based on support vector machine classification of fingerprint image quality. The method chosen gradient, Gabor features, such as indicators of the direction of contrast, the effective use of support vector machine classification of fingerprint image quality. and use a small sample of synthetic over-sampling technique class (SMOTE) lower quality fingerprint image the type of imbalance bad influence on the classification. Theoretical analysis and experimental results show that the method can be used effectively to improve the quality of fingerprint image classification accuracy. Platform: |
Size: 564224 |
Author:郭事业 |
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Description: 一篇很不错的关于人脸表情识别的论文。论文提出了一种基于人脸局部特征的表情识别方法，先选取人脸重要的局部特征,对得到的局部特征进行主成分分析,然后用支持向量机( SVM)设计局部特征分类器来确定测试表情图像中局部特征,同时设计支持向量机( SVM)表情分类器,确定表情图像的所属类别。-A very good facial expression recognition on paper. This paper proposes a feature based on local expression of face recognition, face first select the important local features, local features of the obtained principal component analysis, and support vector machine (SVM) classifier design to determine the local characteristics of test expression image local features, while design of support vector machine (SVM) classifier expression, determine the expression of the image category. Platform: |
Size: 428032 |
Author:王二 |
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Description: 基于Java语言编写的图像分割的代码，使用支持向量机的技术对图像进行分割-Written in Java-based image segmentation code, the use of support vector machine technology for image segmentation Platform: |
Size: 975872 |
Author:马志远 |
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Description: 首先用PCA对ORA人脸图像降维，然后用模糊支持向量机对提取的特征向量进行分类，识别率较高。-First using PCA for dimensionality reduction ORA face image, and then use fuzzy support vector machine to classify the extracted feature vectors, the recognition rate is higher. Platform: |
Size: 891904 |
Author:杨力 |
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Description: 讲了支持向量机关于分类的方法，利用不同的核函数进行分类。-Talking about the method of support vector machine classification, using different kernel function classification Platform: |
Size: 3687424 |
Author:sungaoyan |
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Description: 交互式支持向量机图像分割程序，通过鼠标选取区域实现前景和背景选取-Interactive support vector machine image segmentation procedures, through the mouse to select regions of foreground and background selection Platform: |
Size: 340992 |
Author:顾成扬 |
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Description: 基于神经网络的遥感图像分类取得了较好的效果,但存在固有的过学习、易陷入局部极小等缺点.支持向量机机器学习方法,根据结构风险最小化(SRM)原理,表现出很多优于其他传统方法的性能,本研究的基于多类支持向量机分类器的遥感图像分类取得了达95.4 的分类精度.但由于遥感图像分类类别多,所需训练样本较大,人工选择效率较低,为此提出以人工选择初始聚类质心、C均值模糊聚类算法自动标注训练样本的基于多类支持向量机的半监督式遥感图像分类方法,期望能在获得适用的分类精度的基础上有效提高分类效率-Neural net based remote sensing image classification has obtained good results. But neural net has inherent
flaws such as overfitting and local minimums. Support vector machine (SVM), which is based on Structural Risk Min-
imization(SRM), has shown much better performance than most other existing machine learning methods. Using mul-
ti-class SVM classifier high class rate of 95.4 is obtained. But for the class number of remote sensing image is much
great, manually obtaining of training samples is a much time-consuming work. So a multi-class SVM based semi-super-
vised approach is presented. It is choosed that the initial clustering centroids manually first, then label the samples as
the training ones automatically with fuzzy clustering algorithm. It is believed that this method will upgrade the classifi-
cation efficiency greatly with practicable class rate Platform: |
Size: 25600 |
Author:cissy |
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Description: 支持向量机与水平集相结合的方法分割医学图像，并带有肺部医学图像-Support Vector Machine and level set method of combining medical image segmentation and image with lung medicine Platform: |
Size: 1988608 |
Author:lwwzyx |
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Description: 本程序是基于支持向量机的图像分割问题。通过支持向量机对图片的采样点进行训练，然后对整张图片进行预测。可以将图片分为前景与背景两个部分。-This procedure is based on the support vector machine image segmentation problem. Through the support vector machine to the picture of the sampling point for training, and then the whole picture to predict. Images can be divided into two parts: foreground and background. Platform: |
Size: 194560 |
Author:董彦彬 |
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