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VC k-means聚类算法源码。kmeans是一种常用的分割算法，简单而又高效-VC k-means clustering algorithm source code. kmeans is a common segmentation algorithm, simple and efficient
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人工选择聚类中心，用k-means聚类方法对图像进行分割，效果不错的-artificial selection cluster center, k-means clustering method for image segmentation, the good results
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本实验基于k-means聚类算法思想实现了字符分割，因为车牌规定是7位的，所以k取7。另外本实验对k-means算法进行了改进，充分考虑了初始点的设置及迭代结束条件。实验结果证明这种改进的k-means算法实现车牌字符分割是快速、有效的。-In this study, k-means clustering algorithm based on the ideology of the character segmentation, because the license plate require
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matlab programming for clustering pam , k-means , dbscan , optics for image segmentation
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基于内容的图像识别特征提取部分——k-均值聚类分割获取形状等信息-Content-based image recognition, feature extraction part of- k-means clustering segmentation information for shape
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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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matlab编写的纹理图像分割gussian滤波后k-means聚类并将不同区域用线条表示出来除m程序还包括测试图片-matlab prepared texture image segmentation gussian filtered k-means clustering will be expressed in different regions of the use of lines, inter m program also includes test pictures
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对电路板的图像进行分割，可以提取电路板中的目标物，以对电路板进行检测。文章使用k均值聚类算法完成对电路板图像的分割，针对传统的k均值聚类算法的不足，提出了使用直方图波形的有效波峰个数来确定k值的大小，并通过使用一种比传统的绝对误差的表示更简洁的表达式，达到了快速分割的目的。对一些电路板图像分割的实验结果表明，文章的方法能够根据目标物的数目有效的确定k值的大小，且比传统的k均值算法减少了运算量及计算时间。-On the circuit board image segmentation, to ex
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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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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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image segmentation by using k means clustering algorithm
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k均值聚类算法，此算法自动把数据组聚类分割，效果很好-k-means clustering algorithm, this algorithm automatically data set clustering segmentation with good results
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Image segmentation is vital role in nowadays.
The k-means algorithm usually the initial centroids for the k-means clustering are determined randomly so that the determined centroids may reach the nearest local minima, not the global optimum.
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The attachment consists of a source code that performs malarial segmentation using k-means clustering.It also contains HUI conversion of an malarial image.Water shed algorithm applied on a cel image , and detection of water ridge lines for dental x r
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This paper presents a new approach to image segmentation using Pillar k-means algorithm. This
segmentation method includes a new mechanism for grouping the elements of high resolution images in order to
improve accuracy and reduce the computation
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clustering is a way to separate groups of objects. k-means clustering treats each object as having a location in space. It finds partitions such that objects within each cluster are as close to each other as possible, and as far from objects in other
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matlab 基于k均值聚类算法的图像分割-k-means clustering algorithm for image segmentation
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一种k-means聚类算法的图像分割例程，很好用。里面包括主函数和子函数的m文件以及使用的图片。-One kind of k-means clustering image segmentation algorithm routines, very good use. Which includes the main functions and subroutines m documents and pictures used.
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基于k-means聚类算法的图像分割 代码及实验测试结果-k-means clustering algorithm based on image segmentation code and some experimental results
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中介真值程度度量，基于中介真值程度度量的图像分割本程序的性能已经超过其他算法，基于k均值的PSO聚类算法。- The true extent of the value of the intermediary measure, measure the true extent of the agency based on the value of image segmentation This program has exceeded the performance of other algorit
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