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快速K均值聚类图像分割算法源代码，能很好的实现图像的分割处理-Fast K-means clustering algorithm for image segmentation source code, can achieve very good to deal with image segmentation
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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-watershed segmentation on matlab
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用matlab实现的图像k均值分割，很好用的，以经过验证-Using matlab to achieve k-means image segmentation, well used to a proven
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用于图像处理，K-MEANS聚类实现图像的分割和识别，是一种重要的图像处理方法-For image processing, K-MEANS Clustering achieve image segmentation and recognition, is an important image processing method
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K均值聚类算法 对图像颜色进行聚类 然后对图像分割-K-means clustering algorithm to cluster the color image segmentation and then
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Image segmentation k mean clustering
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image segmentation K-means for image of color space RGB-image segmentation K-means for image of color space RGB
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k-均值聚类法用于各种图像的聚类、分割问题，希望可以对您有利-k-means clustering method for a variety of image clustering, segmentation
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VC++开发的基本图象处理程序，包括分割，滤波，K均值分割，骨架提取，形态学方法，Hough变换等。-VC++ development of the basic image processing procedures, including segmentation, filtering, K mean segmentation, skeleton extraction, morphological methods, Hough transform and so on.
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将K均值算法用于图像分割,输入的是彩色图像,转换为灰度图像进行分割,输出结果为灰度图像.利用灰度做为特征对每个像素进行聚类,由于光照等原因,有时应该属于一个物体的像素,其灰度值也会有很大的差别,可能导致对该像素的聚类发生错误.在分割结果中,该物体表面会出现一些不同于其它像素的噪声点,因此,算法的最后,对结果进行一次中值滤波,以消除噪声,达到平滑图像的作用-The K means algorithm for image segmentation, the input is a color imag
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利用K均值聚类实现彩色图像分割,效果不错-Color Image segmentation using K-means clustering
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简单的灰度图像的K均值聚类分割，Matlab实现-gray image segmentation using K-means clustering by matlab.
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In this project ,we propose a color based segmentation method that uses the c means clustering technique to track tumor objects in magnetic resonance (MR) brain images. The key concept in this color based segmentation algorithm with k means means to
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模式识别经典方法之一 K均值算法（KMeans）进行图像分割 有完善的图形界面 可以通过柱状图的形式动态展示聚类程序-One of the classical method of pattern recognition K means algorithm (KMeans) for image segmentation has improved graphical interface can be dynamically displayed in the form of histogram clu
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matlab图像分割实例，K均值用于图像分割，割调用库函数实现，带注释，简单易懂-matlab image segmentation examples, K means for image segmentation, cutting calls library functions, with comments, easy to understand
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KMeans图像聚类分割：用K-Means聚类方法来对图像进行分割。主要是对图像的颜色进行聚类。开发环境：VC6，需要安装OpenCV。-KMeans clustering in image segmentation: with K-Means clustering approach to image segmentation. Mainly the color of the image cluster. Development Environment: VC6, need to install
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基于K-Means的纹理图像分割，利用k-means方法实现对于纹理的图像分割-K-Means-based texture image segmentation using the k-means method implementation for texture image segmentation
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该方法采用gabor提取纹理特征，最后采用k-means方法聚类进行图像分割-The method uses gabor texture features extraction, and finally using k-means clustering methods for image segmentation
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segmentation is done by k-means algorithm
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k-means image segmentation algorithm
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