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利用模糊C均值图像分割
- 利用模糊C均值图像分割,此为matlab环境下的仿真代码.,Using fuzzy C-means image segmentation, this matlab code simulation environment.
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
FCM.模糊C均值图像分割方法的Matlab程序源代码
- 上传内容为模糊C均值图像分割方法的Matlab程序源代码,From the contents of the fuzzy C-means image segmentation of the Matlab source code
kmeans
- k均值图像分割，经典的图像分割方法，算法简单，效果好。-k-means 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
colorimagek_means
- 自己根据K-MEANS思想在MATLAB下实现的彩色图像分割算法程序，用最普通的语句实现，通俗易懂。可以直接用于对彩色细胞图像的分割，分割结果比较准确，-K-MEANS in accordance with their own ideas in MATLAB to achieve color image segmentation algorithm based on the procedures used to achieve the most common statement, user-fr
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.
DenoiseMethods
- 图像去噪声程序 non-local means-image denoising prgram non-local means etc
gabork-means
- 该方法采用gabor提取纹理特征，最后采用k-means方法聚类进行图像分割-The method uses gabor texture features extraction, and finally using k-means clustering methods for image segmentation
NLmeansfilter0
- 图像去噪的快速算法，利用SSI和FFT.毕设的内容，效果还是不错的。-based NL-means filter,fast mean with SSI and FFT
FCM-C-mean-cluster-segment-[matlab]
- 模糊C均值聚类的matlab实现，模糊C均值聚类是一种利用模糊数学做的聚类方法，属于图像分割的一种。可利用聚类结果用于图像分析和识别。-FCM,C mean cluster segment [matlab].rar
k-means-picture
- k-means图像分割，数据仓库与数据挖掘大作业，不同于其他k-means图像分割，k-means算法为自己编辑，而非调用matlab k-means函数，刚出成绩上传的-k-means
NL-MEANS
- NL-MEANS图像去噪算法。 该算法对于灰度图像的高斯白噪声的去除效果极好，但是在计算时间上耗时较高。本程度对于256*256的灰度图像，约在30s以上。 运行，请输入“main”。-NL-means algorithm is a good way for grey image denoising on AWN, but it has high cost on the computation. The program here may cost beyond 30s for 256
K均值对图像进行聚类分析
- 用k-means算法对图像进行聚类，适合于初学者(K-means algorithm for clustering images, suitable for beginners)
k-means
- 此代码可以对图像很好的聚类，文件里面有原始图像，也有聚类后的图像，聚类的效果挺好的，大家可以看看(This code can make a good clustering of images. In the file, there are original images, and there are also images of clustering. The effect of clustering is good. You can have a look at it)
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)