搜索资源列表
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
matlab
- matlab界面编程用来进行图像二值化，模糊聚类等操作-matlab GUI
k_means
- matlab中使用k-means聚类实现图像分割-using k-means clustering matlab image segmentation
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
haha
- 基于Lab空间向量的图像分割方法，采用k-mean聚类。-Based on the Lab space vector image segmentation method, the use of k-mean clustering.
Kmeans_image
- 使用matlab编写的针对图像的k均值聚类程序-K-means clustering procedure using matlab for image!
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
opencv
- 计算机视觉代码，计算机视觉是研究如何使人工系统从图像或多维数据中“感知”的科学。容涉及几何摄像模型、光照和着色、色彩、线性滤波、局部图像特征、纹理、立体相对、运动结构、聚类分割、组合与模型拟合、追踪、配准、平滑表面与骨架、距离数据、图像分类、对象检测与识别、基于图像的建模与渲染、人形研究、图像搜索与检索、优化技术等内容-OpenCV， image processing Computer vision is to study the science of how to make artificia
c-means-(FCM)-
- 通过模糊c-均值（FCM）聚类实现图像的分割-Image segmentation by fuzzy c-means (FCM) clustering
Kmeans2forImage
- k均值聚类二值化字符图像，通过把RGB图像分割成不同区域-k-means clustering binarized character image, by RGB image segmentation into different regions
K-means
- 模式识别算法程序 K均值算法 主要是实现了K均值聚类分析算法，能够实现对图像的自动分类和识别。-Pattern recognition algorithm K-means algorithm K-means clustering analysis algorithms can achieve automatic image classification and identification.
Matlab-image-K-means-
- 基于matlab的图像K均值聚类算法程序-Matlab image K-means clustering algorithm
kmeans
- 基于kmeans的图像分割源代码，通过设置几个初始聚类中心进行分割-kmeans image segmentation
kmeansClusters
- 一种图像的均值聚类算法，输入的是一幅三维图像，每个像素点对应彩色空间。-An image-means clustering algorithm, the input is a three-dimensional image, each pixel corresponds to the color space.
k_means
- k_means聚类算法 实现图像分割 数据挖掘-k_means clustering algorithm to achieve image segmentation data mining
hcm
- k均值是一种简单有效的聚类方法 可用在图像处理和数据挖掘等方面-k-means is a simple and effective clustering method can be used in image processing and data mining
Texture_moasic
- 基于灰度共生矩阵和K均值聚类的纹理图像分割，MATLAB实现-texture image segmentation
kmeans
- 将彩色图像，转化到Lab空间，利用K-means类聚对图像进行分割-The color image is transformed into Lab space, the use of the class of K-means poly image segmentation
Texture_mosica
- 利用聚类技术实现纹理图像分割的实验算法程序-Clustering technology experimental texture image segmentation algorithm program
k-mediods
- 用于图像特征的K中心点聚类(k-mediods)的matlab实现。-k-mediods implements by matlab, used for cluster of image feature