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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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K均值图像分割代码，图像处理初学者可以参考。-K-means image segmentation code, can refer to the beginner.
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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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一种简单的K均值图像分割方法，已通过测试，可用。-one method of K-means image segmentation，has been tested，useful
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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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Brain MR Image segmentation using k-means clustering
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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
k: Numbe
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matlab中使用k-means聚类实现图像分割-using k-means clustering matlab image segmentation
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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
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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
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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
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