搜索资源列表
k_means_image
- 国外的一个图像K均值聚类的C++源代码,非常容易集成和使用,适合模式识别、图像处理等方面的开发!-an image abroad of K-means clustering of C source code, and is easy to integrate and use, suitable for pattern recognition, Image processing, and other aspects of development.
FCM_Cluster
- 首先介绍模糊集基本知识 其次K均值聚类算法(HCM)介绍 最后重点介绍了模糊C均值聚类, 模糊聚类是一种很重要思想,最近再图像处理中就用的了这种思想,也算是一点思维创新
一种基于模糊聚类的图象分割方法
- 利用模糊C均值对图像进行分割
FCM
- C均值模糊聚类,适用于图像分类,此为MATLAB 程序代码。-C mean fuzzy clustering for image classification, this is MATLAB code.
FCM
- 模糊C均值聚类(FCM)的matlab代码,包括很详细的注释。适用于图像处理。-Matlab code fuzzy C-means clustering (FCM), including very detailed notes. Suitable for image processing.
fourdirectionedge2
- 将用双线性插值归一化后的图像用2*2的窗口扫描加权方向的边缘图,用改进的模糊C均值聚类算法将图像聚类成为候选文字区域和非文字区域。-Bilinear interpolation owned by an after image edge map with 2* 2 the window scanned weighted direction, image clustering with improved fuzzy C-means clustering algorithm to become the
FCM_rgb
- 模糊C均值聚类算法,将RGB图像转换到HSI空间时进行聚类-Clustering fuzzy C-means clustering algorithm, the RGB image is converted to HSI space
code
- 模糊C均值聚类算法的实现,对图像进程分隔处理,提取图像的重点信息-failed to translate
fcm_code
- 模糊C均值聚类(FCM)算法的实现Matlab源码(其中命名为fcm.m的文件为一个完整的应用函数,其余几个文件为分割开使用的单独的函数)适合于研究图像分割算法的同仁们借鉴。-Fuzzy C-means clustering (FCM) algorithm Matlab source code (which is named fcm.m file a complete application functions, the rest is split open several files usin
cannyedgedetection
- 基于canny边缘检测,模糊c均值聚类的图像分割-Canny edge detection based on fuzzy c-means clustering image segmentation
watershed-and-FCM
- 两个matlab编写的图像分割算法,分水岭和模糊C均值聚类算法-matlab codes, watershed algorithm and fuzzy C means clustering algorithm
FLICM
- 基于局部模糊C均值聚类算法的图像分割的Matlab源代码-Image segmentation based on local fuzzy C-means clustering algorithm
fcmeans
- 该函数能快速的实现对图像分c均值聚类,打包文件中含有完整的程序,还有图片-This function can quickly realize the image points c-means clustering, the archive file contains the complete program, as well as pictures
FLICM
- 基于局部信息的模糊C均值聚类算法(FLICM),是在FCM聚类算法的基础上结合了图像的邻域信息,有更好的鲁棒性。-Fuzzy C-means clustering algorithm based on local information (FLICM), is a combination of neighborhood information image on the basis of FCM clustering algorithm has better robustness.
Code-Segmentation
- 基于WFCM的最优阈值图像分割 阈值化是图像分割中广泛应用的一种有效工具。基于类别可分性准则的Otsu法是性能良好且受到普遍欢迎的自动阈值选择方法。Otsu方法与c均值聚类算法的准则在一定条件下是等价的,而c均值聚类算法还可以快速实现分割问题。目前人们提出了很多基于c均值聚类准则的图像阈值化方法,其中模糊c均值(FCM)是最流行的算法之一。但是FCM算法没有考虑样本矢量间对聚类效果的不同影响,因而使用加权模糊c均值(WFCM)来解决这个问题。-Optimal threshold image se
oriFCMimg
- 模糊C均值聚类的图像分割算法,基于标准的模糊C均值聚类的图像分割算法,可以手动调整要分类的类别,最后输入分类好的图像-Image segmentation method based on standard fuzzy C mean clustering
BBSD
- 基于区域的空间域图像融合。先对源图像作小波分解,低频分量加权平均,高频分量用模糊C均值聚类算法进行区域分割,对区域进行基于ssim值的融合,最后小波逆变换得到融合图像。-region based spatial domain method.First do the source image wavelet decomposition low frequency components weighted average of the high frequency component using Fu
jwjmml
- K均值聚类算法 C++实现的K均值聚类算法,()
FLICM_Matlab
- 利用FLICM算法进行图像聚类的matlab程序代码,相对于FCM(模糊C均值聚类)算法具有较强的抗噪能力。(FLICM image clustering algorithm matlab code, with respect to FCM algorithm (Fuzzy C-means Clustering) it has a strong anti-noise ability.)
SFCM
- 基于空间信息的模糊均值聚类算法,SFCM,适用于数据分析,图像分割(space fuzzy-c-means clustering algorithm)