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Untitled2
- 一种应用K均值算法应用于图像分割中的技术-An application k-means algorithm is applied to image segmentation of technology
rgb
- 基于颜色信息的图像分割，其中用到了了、k-means算法进行聚类，结果很好-a way to segmentation by color
Kjunzhijulei
- 基于色彩空间，使用K均值聚类算法对图像进行分割。目标是自动使用L*a*b色彩空间和k均值聚类算法实现图像分割。-Based on the color space, using the K-means clustering algorithm for image segmentation. The goal is to automatically use the L* a* b* color space and k-means clustering algorithm to achieve ima
HW3
- matlab 彩色图像segmentation 使用 k-means clustering -matlab color iamge segmentation using k-means clustering
Vector-quantization-of-the-C
- 矢量量化算法的C语言实现：LBG(K-均值)聚类算法，在欧几里的距离基础上用LBG算法将输入向量聚类。-Vector quantization of C language implementation algorithm:LBG (k-means) clustering algorithm, in several European based on the distance with LBG algorithm will input vector clustering.
k_algorithm
- k-均值算法（动态聚类法），在数据图像及模式识别，经济，社会学得到广泛应用的算法-k-means algorithm (dynamic clustering method), a widely used algorithm in the data image and pattern recognition, economic, sociological
segmentation
- 一种融合了色彩信息和空间信息的色彩分割算法，基于OpenCv，分割效果明显优于JSEG算法，K-means算法C-means算法等常见算法，是中科院863计划的项目，我进行了修改和平台移植，有详细的注释。-a efficient algorithm for colorful pic segmentation based on OpenCv
segmentation
- 基于lab色彩空间的k-means彩色图像分割算法-color picture segmentation based on lab color－space and k-means
K_means
- 一种简单的K均值图像分割方法，已通过测试，可用。-one method of K-means image segmentation，has been tested，useful
JuLeiFenXi2.1.2
- 用OPEN CV在VS2010下实现运动物体分离，算法理论：K—均值聚类算法-Moving objects in VS2010 with the OPEN the CV separation algorithm theory: K-means clustering algorithm
bayesian_kmeans_bp
- 贝叶斯分类程序，用于图像的分割，二值化等，是模式识别中的一种基本分类方法。 k均值聚类，神经网络-Bayesian classification procedures for image segmentation, binarization is a basic classification in pattern recognition. k-means clustering, neural networks
kmean
- k均值聚类分割，用于颅脑分割的效果不错，自己编的哦-k-means clustering segmentation for brain segmentation, good results, their own series.
kkk
- k均值聚类，类数可以自行指定，结果显示聚类中心-K-means clustering, the class number can be specified on its own, and the results showed that the clustering center
kjunzhi
- k均值聚类，聚为2类，结果显示散点图，红色十字表示聚类中心-K-means clustering, the class number is 2, and the results showed that the clustering center
kjunzhiduolei
- k均值聚类，类数可以自行指定，输出散点图，红色十字为聚类中心-K-means clustering, the class number can be specified on its own, the output scatterplot chart, and the Red Cross for clustering center
k_means_image
- 完全用C++写得k-means算法实现图像分割源代码，逐个字节读取图像，-Completely with C++ write the k-means algorithm to achieve image segmentation source code, one by one byte to read the image,
K1092013005K-
- K均值聚类算法 对图像颜色进行行聚类 然后对图像分割可直接使用。 -K-means clustering algorithm for image color line clustering and image segmentation can be used directly.
kmeans
- K-means clustering image
bag_words_demo
- Graphic Detection and Recognition using Bag-of-word method, finding feature vector with K-means classifier, training or testing data with Naive Bayes Classifier or PLCA method.
mykmeans
- k-means算法 算法算法 算法算法 算法 -k-means algorithm algorithm algorithm algorithm algorithm algorithm algorithm algorithm algorithm algorithm algorithm