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SVM图像分割方法的研究
- SVM图像分割方法的研究
matlab_image.matlab图像预处理
- matlab图像预处理，包括灰度化，对数变换，直方图均衡化，线性平滑滤波，中值滤波，自适应滤波，图像锐化，图像二值化，各类边缘检测算子等等,matlab image preprocessing, including gray-scale and logarithmic transformation, histogram equalization, linear filtering, median filtering, adaptive filtering, image sharpening, i
处理图像分类的最小二乘法svm工具箱
- 这是处理图像分类的最小二乘法svm工具箱，里面有详细的使用说明，功能强大，欢迎下载使用。,This is the deal with image classification of least squares SVM toolbox, which has detailed instructions and powerful are welcome to download.
OpenCV-IMLEMENT-SVM
- OPENCV实现SVM,很好的实现了图像分类，供大家参考-USE openCV to implement the SVM
matlab_and_Cyuan_chengxu.ZIP
- SVM的一个工具包，可用于图像处理和高光谱图像处理！matlab版本编写，-SVM' s a kit for image processing and hyperspectral image processing! matlab version prepared
svm--km
- 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.
svm_src
- 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
FaceDe
- 基于支持向量聚类的多聚焦图像融合算法. 从无监督机器学习角度提出了一种基于SVC(support vector clustering)的图像融合规则,解决了基于 SVM(support vector machine)的融合规则在处理多聚焦图像融合问题时所引起的区域混叠与非平滑过渡问题,进一步提高了融合图像的质量.-Based on support vector clustering algorithm for multi-focus image fusion. Never oversig
svm
- SVM工具箱，matlab源程序，可以用于模式识别，图像识别多个方面-SVM Toolbox
SVM
- 基于SVM的图像识别实例，需要安装摄像头-an example of SVM based on image recognition
SVM-toolbox
- 迄今为止最好的svm工具箱 包含了波形和图像的处理-svm classification
kmeans_svm_image_segmentation
- svm 图像分割 用kmeans得到两类分割的图，在显示的图像中用鼠标取点得到2*num个坐标位置的二维向量，前num个为正样本，后num各为负样本-image segmentation
svm
- 本程序包括：论文SVM 用于基于块划分特征提取的图像分类，和相应的matlab实现其中图像划分以及特征提取、聚类均利用matlab6.5完成。 -The procedures include: paper by SVM for feature extraction based on block classification, and the corresponding realization of one image into matlab, and feature extraction,
SVM-based-image-classification
- 基于SVM的图像分类，由于支持向量机的分类能力极大地依赖于核参数的选取，因此，本文着重研究了核参数选择方法，并利用不同的颜色、纹理特征对图像进行分类。 -SVM-based image classification, the classification capability of SVM kernel parameters greatly depend on the selection, therefore, this paper focuses on the kernel paramet
hog_svm
- matlab实现hog+svm图像二分类(Matlab implementation of hog and svm images two categories)
SVM
- 通过HOG获取特征，用SVM对图像进行分类。(The feature is acquired by HOG, and the image is classified by SVM.)
SVM
- 使用HOG提取特征，SVM进行图像分类，可以进行两种以上分类(Using HOG to extract features and SVM for image classification)
SVM论文1
- SVM图像分类的论文5篇，是最近几年的，有参考价值(5 papers on the classification of SVM images, which are of reference value in recent years.)
SVM图像分割matlab
- 基于svm支持向量机的实现彩色图像分割，代码可以实现训练集上的(SVM - based color image segmentation)
改进svm
- phog方法提取图像特征，svm支持向量机进行分类，分别有GA遗传算法和PSO粒子群优化算法进行寻优。(Phog method extracted image features, SVM support vector machine classification, respectively, GA genetic algorithm and PSO particle swarm optimization algorithm for optimization.)