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聚类算法有很多种，该程序是基于K-均值聚类算法，主要用于图像的分割-There are many clustering algorithms, the program is based on the K-means clustering algorithm, mainly used for image segmentation
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k-means算法实现图像分割 根据输入的类别数量来计算类别平均值-k-means algorithm for image segmentation This program gets an image and the desired number of partitions and finds the means of the different classes and provides a classified image.
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K均值聚类法基于lab颜色空间分割图像，并用霍夫变换检测圆-K means clustering method is based on lab color space segmentation image and Hough transform to detect circles with
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This paper presents a new human skin color model in
YCbCr color space and its application to human face
detection. Skin colors are modeled by a set of three
Gaussian clusters, each of which is characterized by a
centroid and a covariance matr
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WINDOWS操作系统下MATLAB图像处理工具箱，非常好用-Matlab demo-Image processing toolbox
- Texture Segmentation Using Texture Filte
(entropyfilt)
- color-Based Segmentation Using K-Means Clustering
Vgg-matlab
Zisserman: Texture Classification: Are Filt
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用MATLAB编写的K均值聚类用于图像分割-Written by K-means clustering MATLAB for image segmentation
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用于雪花检测与去除是基于K-MEANS 算法的
在雪天进行检测-For image processing, K-MEANS Clustering achieve image segmentation and recognition, is an important image processing method
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对图像进行K均值分割，分割的结果非常的好-K-means of image segmentation, segmentation results are very good
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image segmentation of color images using k means
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该程序用于分割图像的不同区域，其中采用了K-means算法。-image segmentation for different regions
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本项目是居于K均值聚类的思想，对灰度图像进行分割。-This project is the idea of living in the K-means clustering, the gray scale image segmentation.
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基于K均值聚类的图像分割，灰度图像分割案例，真彩图像分割案例-K-means clustering-based image segmentation, image segmentation case, the true color image segmentation case
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一种应用K均值算法应用于图像分割中的技术-An application k-means algorithm is applied to image segmentation of technology
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基于色彩空间，使用K均值聚类算法对图像进行分割。目标是自动使用L*a*b色彩空间和k均值聚类算法实现图像分割。-Based on the color space, using the K-means clustering algorithm for image segmentation. The goal is to automatically use the L* a* b* color space and k-means clustering algorithm to achieve ima
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kmeans image segmentation
Input:
ima: grey color image
k: Number of classes
Output:
mu: vector of class means
mask: clasification image mask- kmeans image segmentation
Input:
ima: grey color image
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迫零和最小均方误差比较，非常好的程序，保证可以仿真出图形-DIP text book kmeans image segmentation Input: ima: grey color image k: Number of classes Output: mu: vector of class means mask:
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迫零和最小均方误差比较，非常好的程序，保证可以仿真出图形-DIP text book kmeans image segmentation Input: ima: grey color image k: Number of classes Output: mu: vector of class means mask:
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贝叶斯分类程序，用于图像的分割，二值化等，是模式识别中的一种基本分类方法。
k均值聚类，神经网络-Bayesian classification procedures for image segmentation, binarization is a basic classification in pattern recognition. k-means clustering, neural networks
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完全用C++写得k-means算法实现图像分割源代码，逐个字节读取图像，-Completely with C++ write the k-means algorithm to achieve image segmentation source code, one by one byte to read the image,
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K均值聚类算法 对图像颜色进行行聚类 然后对图像分割可直接使用。
-K-means clustering algorithm for image color line clustering and image segmentation can be used directly.
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