搜索资源列表
svm
- 相关反馈是在用户和查询系统的交互中,用户对检索结 果进行评价并标记相关和不相关样本,然后将这些标记图像 作为训练样本反馈给系统,以实时修改系统的查询策略,逐步 接近直至满足用户的查询需求-Related feedback in the user and the interactive query system, users of the search node Evaluation of fruit and tag-related and non-relevant sample
svm-phasestateofcloudclassificationalgorithmsource
- 利用支持向量机的分类特性,结合modis的云图像,对云相态进行分类,利用svm云相态分类算法源代码-The use of support vector machine classification of features, combined with clouds modis images of the cloud phase state classification using svm-phase state of cloud classification algorithm source c
EMD-and-SVM-based-method-for-iris-recognition
- 基于EMD和SVM的虹膜识别方法(医疗 图像匹配)-EMD and SVM based method for iris recognition (medical image matching)
SVM
- 数字图像处理,实现了基于内容的自然图像分类和检索-Digital image processing, and content-based classification and retrieval of natural images
filter--classifier
- matlab数字信号处理,输入图像矩阵和窗口大小,进行中值滤波,平均滤波,svm分类器-Digital signal processing, input image matrix, and window size,median filter,Average filter, svm classifier
gabor-pca
- 本程序是先用gabor小波变换对人脸图像处理,然后在用pca进行降维,最后用svm分类器进行多分类分类识别,包扩完整的orl人脸库,需注意的是,svm工具箱是用的libsvm工具箱,运行前先配置好libsvm。版本号:libsvm-mat-2[1].89-3[FarutoUltimate3.0]-This procedure is to use the human face gabor wavelet transform image processing, and then to reduce
LS-SVM
- 基于LS-SVM的一个预测代码。对实际数值进行预测得到图像-LS-SVM based on a prediction code. Predicted value for the actual image
SVM-Classification
- Matlab写的SVM图像分类程序,是完整的可运行的图像分类程序,高手可以研究一下。-Matlab write SVM image classification procedure is complete working image classification procedures, experts can look at.
fishersvm
- 可直接运行的fisher和SVM分类算法(Fisher and SVM classes that can be run directly)
PCA-SVM
- 用于主成分图像svm分类,简单,有很好的程序,适合初学者(SVM for principal component image classification, simple, there are very good procedures for beginners)
SVM源代码
- 基于opencv库,通过计算图像的svm,来对待测图像进行分类(Based on the opencv library, the image is classified by calculating the SVM of the image)
SVM
- SVM处理图像 数据与处理 特征提取 训练模型 模型预测 得到结果(SVM processing image data and processing feature extraction training model model to predict the results)
PCA-SVM-master
- PCA/SVM算法实现图像分类,分类准确率可到达90%(Image classification by PCA/SVM algorithm)
python+图像处理+svm
- python+图像处理+svm的验证码自动识别代码(python is good language)
基于支持向量机的图像分类
- classifier.mat文件太大未上传。可运行一次main3生成 getFeatures.m 获取灰度共生矩阵相关特征 main-main6 训练 + 识别 predict.m 单独的分类程序 temp.m 单独的分类演示程序(classifier.mat file is too large to upload. Can run a main3 to generate getFeatures.m Get the grayscale co-occurrence matrix rel
基于训练样本自动选取的SVM彩色图像分割方法研究
- 该文献主要介绍了基于训练样本自动选取的SVM彩色图像分割方法,详细的对比了各种方法的优缺点(This paper mainly introduces the SVM color image segmentation method based on the training sample automatically, and compares the advantages and disadvantages of various methods in detail)
基于支持向量机的几种核函数遥感图像分类比较
- 该文献详细介绍了支持向量机SVM在遥感图像中的应用,尤其是在小目标的提取上居然不可替代的作用(In this literature, the application of support vector machine SVM in remote sensing images is introduced in detail, especially the irreplaceable role in the extraction of small targets)
matlab数字图像处理与识别
- 将理论知识、科学研究和工程实践有机结合起来,内容涉及数字图像处理和识别技术的方方面面,包括图像的点运算、几何变换、空域和频域滤波、小波变换、图像复原、形态学处理、图像分割以及图像特征提取的相关内容;同时对于机器视觉进行了前导性的探究,重点介绍了两种目前在工程技术领域非常流行的分类技术——人工神经网络(ANN)和支持向量机(SVM),并在人脸识别这样的热点问题中结束《精通Matlab数字图像处理与识别》。(Combining theoretical knowledge, scientific re
svm
- 基于hog特征的svm的图像分类识别,matlab程序(Image classification and recognition based on hog-svm)
SVM做图片处理
- 使用SVM算法对CIFAR-10图片数据集进行分类,包括模型的训练,测试和参数的调优(Using SVM algorithm to classify CIFAR-10 image data sets, including model training, testing and parameter tuning)