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jiyuneirongdetuxiangjiansuo
- 基于内容的图像检索中的一些关键环节：特征提取：颜色直方图；纹理特征等 相似度：马氏距离，欧氏距离等 相关反馈：机器学习方法，如SVM，神经网络等 检索与分类：两个很相似的样本距离很小，虽然两个不相似的样本距离未必很大-content-based image retrieval of some of the key issues : Feature Extraction : color histogram; Texture characteristics of simila
Medeical_Image
- 一个用于MRI和CT图像检索的程序，使用了SVM分类算法和AdaptBoost自适应增强算法。-for an MRI and CT image retrieval procedures, the use of SVM classification algorithm and AdaptBoost adaptive enhancement algorithms.
FaceDetection
- 人脸检测。用c++编写。人脸检测是人脸分析的首要环节，其处理的问题是确认图像（或影像）中是 否存在人脸，如果存在则对人脸进行定位。人脸检测的应用领域相当广泛，是实 现机器智能化的重要步骤之一。 AdaBoost 算法是1995 年提出的一种快速人脸检测算法，是人脸检测领域里 程碑式的进步，这种算法根据弱学习的反馈，适应性地调整假设的错误率，使在 效率不降低的情况下，检测正确率得到了很大的提高。-Face Detection. Using c++ to prepare. Fac
gaborwavelet
- Gabor wavelet transform applied to feature extraction of ophthalmic images. We investigate a new approach for measuring ocular refractive errors (astigmatism, near-sightedness and shortsightedness) from images of the human eye [1]. This ap
hog
- HOG+SVM 应用OPENCV来检测人体图像中是否有人-HOG+SVM application the OPENCV to detect whether someone in the human body image
Tppcca-svmh
- 本程序源码用于对训练样本提取独立主元，作为样本特征，并送入SVM分类器中训练图像的预处理中不取对对数，也无须做幅度归一，由ICA的应用条件决定的。预处理后的图像以向量的形式按行排列 可直接使用。 -The program source for independent main training samples extracted as sample characteristics, and fed into the SVM classifier training image preproce
svm-bp
- 将svm分类与bp算法结合，针对图像中的分类预测问题提出一种算法-Svm classification the bp algorithm combines propose an algorithm for image classification prediction problem
matlab-code-based-image-retrieval
- 基于图像检索的matlab代码，基于内容的图像检索中的一些关键环节：特征提取：颜色直方图；纹理特征等 相似度：马氏距离，欧氏距离等 相关反馈：机器学习方法，如SVM，神经网络等 检索与分类：两个很相似的样本距离很小，虽然两个不相似的样本距离未必很大-content-based image retrieval of some of the key issues : Feature Extraction : color histogram Texture characteristics of si
svm
- Multimodal medical image fusion, as a powerful tool for the clinical applications, has developed with the advent of various imaging modalities in medical imaging.
CVMpic1
- 绝对自己编写的可用的CVM程序。类似SVM，可以以文件夹为目标提取整个文件夹内图像特征（对应特征为颜色直方图），然后用分类器分类-Absolutely have written procedures available CVM. Similar SVM, can extract image features the entire file folder to folder as the target (corresponding feature is the color histogram),
SVMLS_v0
- Image Segmentation Matlab code based on SVM along with related Paper.
image-retrieval
- This a simple demonstration of a content based image retri using 2 techniques. 1. Using knn for image retri 2. Using svm for image retri .-This a simple demonstration of a content based image retri using 2 techniques. 1. Using knn for image
histology-image-classification
- this code product to classification of blood histology images.texture and color features used to patterns extraction and classified using SVM (support vector machine). texture features extracted with SRF gradient and LBP operator and to color feature
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)
hog_svm
- hog+svm的Demo，实测可以运行，搭配INRIA图片集准确率为0.96. 不足：直接把图片缩小为64*128来检测，window的滑动没有。(the demo of HOG+SVM, could run,; not enough: it resize image to 64*128. the window have no slide.)
4
- pso svm classification
3
- 基于底层特征和SVM的图像分类image classification based on the underlying characteristics and the SVM(image classification based on the underlying characteristics and the SVM)
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)
hyperspectral-classification-with-svm-master
- svm高光谱图像分类3D-CNN Hyperspectral Image Classification(svmHyperspectral Image Classification)