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将维对分和K均值算法分割图像
- 利用聚类算法分割图像，将维对分法只可将图像分为2部分，可以作为二值化的代码,K-均值法可将图像分为任意多部分。程序直接采用R、G、B三色作为特征参数，聚类中心为随机值，当然也可以采用其他参数，程序编译为EXE文件后速度还可以接受，但尚有改进的余地，那位高手有空修改的话，请给我也发份代码。-clustering algorithm using image segmentation, Victoria right method can only image is divided into two p
K聚类
- 基于K均值聚类的图像检索：用K均值聚类方法提取图像特征进行检索-K-means clustering - based Image Retrieval : K-means clustering method of extracting image features Search
K-Means
- K均值算法--- --- --- --VC代码编写
在matlab下的k-均值聚类进行图像分类分割处理
- 在matlab下的k-均值聚类进行图像分类分割处理,In matlab under the k-means clustering for image classification be dealt with separately
KMeans-with-opencv k均值分类在遥感影像中的应用
- k均值分类在遥感影像中的应用，完整的c++代码，注释详细易懂，并且已经验证过-k-means classification in remote sensing images in the application, complete c++ code, comments, detailed and easy to understand, and have been verified
k-means_cluster.rar
- 通过将一幅图像的sift特征提取出来，然后对他们采用k均值方法进行聚类,By an image feature extraction sift out, and then on their way to the use of k-means clustering
fuzzy-K-means
- 代码是一种数据挖掘算法，fuzzy-K-means，对数据进行分类-The code is a data mining algorithms, fuzzy-K-means, data classification
K---means-in-LAB
- matlab中K-means聚类算法在CIElab空间的可用于车牌检测，基于色彩的图像分割-K- means clustering algorithm in matlab in the CIElab space can be used for license plate detection, image segmentation based on color
k-means-and-meanshift
- 这是Meanshift算法和K-Means算法的对比的matlab实现~-This is a matlab program of Meanshift and K-Means
CPP-k-means
- 图像处理，C++环境下的k-means聚类算法，实现图像分割-Image processing, k-means clustering algorithm C++ environment, image segmentation
K-means
- 通过非监督分类中的K-均值聚类对Indian pines高光谱图像进行分类-Classification of hyperspectral images of pines Indian by K-means of non supervised classification
k-means--color-segment
- matlab k-means 彩色图像分割 不是很完美，有待提高-matlab k-means color segment，is not very perfect，needing you to improve
K-means--C
- 运用k_means 聚类算法 对图像进行分类识别 c语言代码-Using k means clustering algorithm for image classification to identify c language code
k-means--segmentation
- 该代码实现了k-means聚类算法对图像的分类处理，同时通过RMSE和准确性对比对技术的表现和准确度进行了测试-The code implements the k-means clustering algorithm to classify the image. At the same time, the performance and accuracy of the technique are tested by RMSE and accuracy comparison.
Image Classification Example
- python实现用SIFT+K-MEANS+SVM图片分类(Python implementation with SIFT + K-MEANS + SVM picture classification)
基于 K-means 聚类算法的图像区域分割
- 图像处理领域，基于 K-means 聚类算法的图像区域分割(Image processing domain, image region segmentation based on K-means clustering algorithm)
k_means
- MATLAB编写K-means算法，已通过验证，并且已经做成函数，可以直接使用(MATLAB writes the K-means algorithm, which has been verified, and has been made into a function that can be used directly)
k-means
- 增加椒盐噪声对图像进行去噪处理后，实现图像分割(Adding salt and pepper noise to image denoising,realization of image segmentation)
K—均值聚类提取
- k均值聚类提取，适合学习。先将RGB图像转换到LAB空间，在LAB空间进行聚类分割。(K-means clustering is suitable for learning. First convert the RGB image to LAB space and perform clustering and segmentation in the LAB space.)
基于 K-means 聚类算法的图像区域分割
- 基于K-means聚类算法的图像区域分割(Image region segmentation based on K-means clustering algorithm)