搜索资源列表
PixelFusion
- 图像融合算法及质量评价的程序，其中有HIS、PCA、WAVELET及BROWEY等算法，评价参数有均值、梯度、熵、相关系数等。-image fusion (his pca wavelet browey) mean etc
KMEANS
- 用C语言实现的基于均值聚类算法的图像分割的中心程序-c kmeans
generating-white-noise
- 编程产生一组正态分布的白噪声信号,它的均值和方差以及长度可随意调整。将产生的白噪声信号存入数据文件。 本程序算法用C++语言编写。首先用乘同余法产生均匀分布白噪声，再用变换抽样法转换为高斯分布白噪声 -Program produces a set of normal white noise signal, its mean and variance, and the length can be adjusted. Will produce a white noise signal int
IsoDataaK-means
- 是用VS6.0编写的程序。实现了模式识别中的ISODATA算法和K均值算法。内附有测试数据。-made by VS6.0 C++ Isodata K-means
Pattern-Recognition
- 模式识别程序，包括Isodata,C均值,最大最小值以及H-k算法-Pattern recognition sources, including Isodata, H-k algorithm,and so on
fcm
- 这是模糊c均值聚类的图像分割算法 用来实现图像的分割-this is a code of fuzzy c-means separating the image
FCM
- 模糊C均值聚类算法，对图像进行分类，图像处理，多类划分，SAR图像分类-Fuzzy c-means algorithm clustering algorithm, the image classification, image processing, many kinds of division, the SAR image classification
kmeans
- 此代码为模糊C均值聚类的图象分割算法的MATLAB实现-This code is the image of the fuzzy C-means clustering segmentation algorithm in MATLAB
FCM
- 此代码为模糊C均值聚类的图象分割算法的MATLAB实现（与kmeans方法有所不同）-This code is the image of the fuzzy C-means clustering segmentation algorithm in MATLAB
fuzzykernal
- 又一种模糊C均值聚类的图象分割算法的MATLAB实现-Another fuzzy C-means clustering image segmentation algorithm in MATLAB to achieve
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-MEANS
- 基于c++对模式识别中K均值算法进行实现，可以读取不同波段数，并且实现对地物的分类效果。代码简单易行。-K-means algorithm in pattern recognition based on the c++ implementation, can read the band number and classification of surface features. The code is simple.
FCM-Image-Segmentation
- 一种新的快速迷糊C均值聚类图像的分割算法。对于模糊聚类的图像分割的速度慢的这一缺陷进行了改进。-A new fast confused C clustering image mean segmentation algorithm. For fuzzy clustering image segmentation speed slow this defect was improved.
FLICM
- 局部模糊c均值聚类算法的matlab代码-A Robust Fuzzy Local Information C-means Clustering Algorithm code
matlab-image-process
- comparehist是用于检测两个图像的直方图巴士距离，xuefu是通过C类均值算法对图像进行颜色聚类，ccv是提取衣服图像的颜色一致向量，便于以后对图像各个特征值进行操作-comparehist is used to detect the two image histogram bus distance, xuefu Class C means algorithm for image color clustering, ccv extract clothes image consistent
Cluster
- 实现了随机点生成、C均值聚类、ISODATA聚类算法，简单易懂-Random point generation C-means clustering, ISODATA clustering algorithm, straightforward
image-classification
- K均值算法和ISODATA算法的源码，用C++编写，内附一张TM的卫星影像作为实验数据，具体算法原理可以参考武大舒宁、马洪超、孙和利版的《模式识别》一书-The source code of K Means and ISODATA algorithm, written in C++, with a TM image attached. For concrete algorithm, you are referred to the book Pattern Recognition written
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_YL
- 模糊C均值(FCM)聚类算法分割图像,雨帘开发，非常经典！-function clusterResult = FCM(imagePath, C, V, M, iter, epsm)