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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
Fuzzy-k-means
- 模糊核聚类及几篇文章,用于数据和图像的模糊聚类分割,效果还行-nuclear fuzzy clustering and articles for data and image segmentation fuzzy clustering, the results were OK
K-Means-Algorithm
- k平均动态聚类算法源代码.希望对大家有所帮助.-k average dynamic clustering algorithm source code. We want to help.
K-MEANS
- 基于MATLAB的k-means算法 较好的解决了图像分类聚类的问题-MATLAB based on the k-means algorithm better solved the problem of image classification clustering
kmeans
- k-means源码(K均值聚类算法源码)-k-means source (K-means clustering algorithm source)
99273866Ms_segmenter
- 用matlab实现的图像k均值分割,很好用的,以经过验证-Using matlab to achieve k-means image segmentation, well used to a proven
k-means_cluster
- 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
109201305K
- K均值聚类算法 对图像颜色进行聚类 然后对图像分割-K-means clustering algorithm to cluster the color image segmentation and then
kmeans
- 快速K均值聚类图像分割算法源代码,能很好的实现图像的分割处理-Fast K-means clustering algorithm for image segmentation source code, can achieve very good to deal with image segmentation
K-Means-Color-Reduction
- 基于K-MEANS的图像退色算法。平台为MATLAB6.5及以上。-Based on the K-MEANS algorithm image fade
k_means
- k-均值聚类法用于各种图像的聚类、分割问题,希望可以对您有利-k-means clustering method for a variety of image clustering, segmentation
K-Mean
- 遥感影像K均值分类算法,针对bmp彩色图像。VC++6.0编程实现。-K means of remote sensing image classification algorithm for bmp color images. VC++6.0 programming.
kmeans
- 基于matlab的图像k均值算法,实现对一副彩色图像进行分割。-Matlab image based on k means algorithm, to realize a color image segmentation.
k-means
- 对BMP图像进行K_MEANS分类,效果较好,对初学者学习k_means分类算法很有帮助。-K_MEANS image classification of BMP, effect is better, K_MEANS classification algorithm for beginners helpful.
1、K-means学习
- K-means算法MATLAB仿真,利用一副图像作为数据实现K聚类算法仿真(K-means algorithm, MATLAB simulation)
k-means-image-segmentation-master
- k-means 聚类和分割的图像处理方法(k-means and segement image process)
K-means
- 使用k-means算法对图像进行分割,并利用遗传算法对k-means算法加以改进(The k-means algorithm is used for the segment of images, and the genetic algorithm is used to improve the k-means algorithm)
K-means图像识别
- 利用K-means对图像进行聚类,识别。您可以设置参数达到更好的识别效果(Using K-means to cluster and identify images.You can set parameters to achieve better recognition results)
1、K-means学习
- 用k-meas算法对图片聚类,根据图像的颜色,聚类成若干类(Using k-means algorithom to clustering a picture)