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kmeans
- 利用kmeans算法实现一副图像的灰度值分割，也可以实现图像的RGB彩色空间的分割。-Kmeans algorithm using a gray scale image segmentation, image can also be achieved RGB color space segmentation.
K_MeansSeg
- KMeans图像聚类分割：用K-Means聚类方法来对图像进行分割。主要是对图像的颜色进行聚类。开发环境：VC6，需要安装OpenCV。-KMeans clustering in image segmentation: with K-Means clustering approach to image segmentation. Mainly the color of the image cluster. Development Environment: VC6, need to install
Kmeans
- 分水岭算法，用分水岭算法实现对MRI图像的分割。-Watershed algorithm that USES watershed algorithm for MRI image segmentation.
fenge
- 一些图像分割算法，包括快速K-均(kmeans)聚类图像分割算法源代码-The number of image segmentation algorithms, including fast K-(kmeans) clustering segmentation algorithm source code
kmeanssegment
- 自己写的kmeans用于图像分割的程序，非常简洁，清晰，明了，分割效果很好。-kmeans image segment
kmeans
- 将彩色图像，转化到Lab空间，利用K-means类聚对图像进行分割-The color image is transformed into Lab space, the use of the class of K-means poly image segmentation
kmeans-image-segmentation
- 多类 kmeans 图像分割，基于灰度的图像分割。-Kmeans image segmentation, segmentation based on gray-scale images.
Kmeans-image-segmentation
- k-means用于图像分割，其中包干用于测试的图像及测试的结果-k-means for image segmentation， it contains test images and the results
kmeans
- K均值聚类算法，可用于图像分割，算法简单有效-K-means clustering algorithm can be used to image segmentation and it is simple and effective
kmeans(cp2Bp2B)
- kmeans聚类算法实现图像分割， 基于K-MEAN的图像分割,方便实用，对于图像处理的研究生很有参考价值的！-kmeans clustering algorithm for image segmentation, image segmentation based on K-MEAN, convenient and practical, for image processing graduate of great reference value!
kmeans
- K-means图像分割，简单方便的经典图像分割方法~-K-means image segmentation
kmeans
- matlab 基于K均值聚类算法的图像分割-K-means clustering algorithm for image segmentation
Kmeans
- Kmeans聚类算法，MATLAB语言，用于图像分割，可以将相似像素聚类，然后进行分割-Kmeans clustering algorithms, MATLAB language for image segmentation, can be similar pixel clusters, and then divided
kmeans
- 在图像分割中所涉及到的k均值聚类，这个方程fuction：[IDX P] = kmeans(V, k)，要求输入样本以及聚类数目，得到聚类值以及数目。-In the image segmentation involved in k-means clustering, this equation fuction: [IDX P] = kmeans (V, k), requires the input samples and the number of clusters to give value
kmeans
- kmeans图像分割，可以很好地分割图像，并有效的显示出前景-kmeans image segmentation, image segmentation can be well and effectively exhibited prospects
kmeans
- 实现基于颜色的Kmeans图像分割，只是需要自己设定聚类中心数目，聚类中心初始化采用Kmeans-Kmeans image segmentation based on color, but need to set the number of cluster centers, clustering center initialization using Kmeans++
K-mean
- 关于运用K均值算法进行简单的图像分割的代码(On the use of K-means algorithm for simple image segmentation code)
kmeans2
- k-means聚类,用于文本的聚类，可以简单的聚类文本信息(kmeans use to classification txt ti is easy to use)
1902386DRLSE_v0
- SVM+kmeans实现图像分割，代码有较好的效果(Kmeans segmentation image)
Matlabkmeans聚类分割GUI，分割聚类数可以输入
- 该课题为基于kmeans的聚类分割，输入一张彩色图像，可以选择需要分割成多少类，就会以不同颜色区分不同的块，带有GUI界面，操作丰富。(This topic is based on Clustering Segmentation of kmeans. Input a color image, you can choose how many categories you need to segment, and then different blocks will be distinguished