搜索资源列表
K-image-RGB
- 用C语言实现一张BMP图像的所有点的RGB的K-均值聚类程序,生成两个聚类中心。可根据具体情况稍作修改后直接调用。-VC6.0 digital image RGB
CSR_denoise
- 一种利用中心和结构聚类的稀疏表示图像去噪方法,有不错的效果-a image denoising method with structral clustering and sparse representation, has good effect .
Kexample-temp-
- K-means聚类算法的实现,可以实现对图像色彩块进行分类,是一个不错的算法,就是处理起来慢了点-K-means clustering algorithm, could achieve the color of the image block classification is a good algorithm is handling up slow
image-pattern-recognition--VCPP
- 《图像模式识别》源码程序,分类程序,聚类程序,值得学习的好材料-Source image pattern recognition procedures, classification procedures, clustering program worth learning material
Twenliie
- 基于纹理的图像分割的Matlab源代代码,应用小波和K均值聚类-matlab -Texture-based image segmentation Matlab source generation of code, the application of wavelet and K-means clustering-matlab
Ncut_9
- Normalized Cuts,数据分类,matlab,C++,C语言混合编程程序,图像分割,光谱聚类-Normalized Cuts, data classification, matlab, C++, C mixed-language programming procedures, image segmentation, spectral clustering
Image-Classification-VCPP-Programme
- 用C++语言编写的MFC程序,用K均值和ISODATA算法实现BMP影像的自动分类。提供良好的交互接口,用户可在图像上选择初始聚类中心和设定分类相关参数。适合作为初学者学习分类算法和MFC编程的参考资料。提供了文档说明程序的操作过程。-MFC program with C++ language, K-means and ISODATA algorithm to achieve the automatic classification of BMP images. Provide a good i
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
tuxiangfenge
- 基于聚类的模糊C均值图像分割算法的实现,将图像分割成两部分-The realization of fuzzy C-means image segmentation algorithm based on clustering, the image is divided into two parts
meanshift-CPPcode
- meanshift的聚类方法,在图形图像研究中应用广泛,多用于分类不同类型的图像-meanshift clustering method, widely used in graphics research, many different types of images for classification
Untitled2
- k-mean算法,使用matlab工具箱工具对图像进行聚类分割。-k-mean algorithm, using matlab clustering toolbox tool for image segmentation.
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!
Affinity-Propagation
- 聚类作为海量数据智能处理的一种基本手段,在数据挖掘、模式识别、图像分割、文本分析等众多领域中占有重要地位- Affinity Propagation
K-means-and-iterative
- 图像的K均值与迭代处理,k-均值聚类是一种动态聚类,又称“C-均值算法”。-Image k-means and iterative processing
meanshift
- 均值漂移算法是一种基于颜色特征的无参密度估计算法,被人们广泛的应用于图像滤波、聚类分析和目标跟踪等领域。-Mean shift algorithm is a nonparametric density estimation algorithm based on color feature, which is widely used in the fields of image filtering, clustering analysis and target tracking.
kemanstuxiang
- 利用K均值聚类算法进行图像分类的基本方法,将模式识别方法与图像处理技术相结合,-Using K means clustering algorithm to carry out the basic method of image classification, the pattern recognition method and image processing technology,
0000face
- 针对光照变化对人脸检测及人眼定位的影响 , 提出一种基于肤色模型的人脸检测与人 眼定位方法 . 先对图像进行预处理 , 减少图像中的噪声 ; 再将 RGB 颜色空间转化到具有良好 肤色聚类特性的 YCbCr 色彩空间 , 利用 Gauss 模型进行肤色建模 ; 最后检测出人脸区域并确 定人眼位置 . -The influence of illumination changes on human fa
Edit-Propagation-master
- 编辑传播的code,利用AP聚类相关特性,来做图像分割和图像编辑-Edit propagation code, using the AP cluster correlation properties do image segmentation and image editing
K-means-matlab
- K-means聚类算法的MATLAB版本,不仅给出了代码,还包括在图像分类中的具体应用-K-means cluster algorithm in the version of matlab
juising
- sar图像去噪的几种新的方法,基于欧几里得距离的聚类分析,cordic算法的matlab仿真。- Several new methods sar image denoising, Clustering analysis based on Euclidean distance, cordic matlab simulation algorithm.