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通过将一幅图像的sift特征提取出来，然后对他们采用k均值方法进行聚类,By an image feature extraction sift out, and then on their way to the use of k-means clustering
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基于K均值聚类的图像分割算法
java源代码 十分好用 希望大家喜欢,K-means clustering-based image segmentation algorithm
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K-meansK均值聚类在无监督的情况下选择图像特征的算法-K-meansK means clustering in the case of unsupervised image feature selection algorithm
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Image thresholding has played an important role in image segmentation. In this paper, we present a novel spatially weighted fuzzy c-means (SWFCM) clustering algorithm for image thresholding. The algorithm is formulated by incorporating the spatial ne
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Image segmentation k mean 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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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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,文章采用的K均值聚类，进行图像识别,效果较好-, The article by K-means clustering, image recognition, better
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Title: Image Clutering K-means and Mean Shift) delphi implemetation
Descr iption: This delphi program contains image clustering algorithms K-means and Mean shift. Contains 2 pas file for kmeans and mean shift. by chamika deshan
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K-means算法是一种动态聚类方法，这种方法先选择若干样本作为聚类的中心，在按某种聚类准则（通常采用最小距离原则）使各种样本向各个中心积聚，从而得到初始的分类，然后，判断分类的合理性，如果不合理，就修改分类，如此反复的修改聚类的迭代运算，直到合理为止。-K-means algorithm is a dynamic clustering method, this method, select the number of samples as a cluster center in the clu
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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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针对目前传统的枸杞分级主要采用人工方法， 费时费力且效率不高的缺点， 提出了一种基于机器视觉技术对枸杞
进行自动分类的方法。 采用数字图像处理技术对枸杞图像进行了预处理、 分割 ， 从而提取枸杞的色泽、 大小及形状等特征
参数； 用 K-means 算法对特征进行聚类， 得到枸杞相应等级的基准； 根据聚类分析得到的基准采用最小距离分类器对枸杞
进行分级。 实验结果表明 ， 该方法能够准确快速地对不同色泽和大小的枸杞进行分类。-Traditional wolfberry sorting
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该代码实现了k-means聚类算法对图像的分类处理，同时通过RMSE和准确性对比对技术的表现和准确度进行了测试-The code implements the k-means clustering algorithm to classify the image. At the same time, the performance and accuracy of the technique are tested by RMSE and accuracy comparison.
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用kmeans算法处理资源3号卫星图像，用欧式距离来计算聚类中心，在用前后两次聚类之间的误差来决定迭代次数(Kmeans algorithm is used to deal with the resource 3 satellite image, and the Euclidean distance is used to calculate the clustering center. The number of iterations is determined by the error bet
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利用matlab程序编写的图像分割代码，算法为kmeans聚类算法，分割速度和效果很好(The image segmentation code written by MATLAB program, the algorithm is kmeans clustering algorithm, the segmentation speed and effect is very good)
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利用相位一致性提取图像边缘，K-means聚类后区域生长进行图像分割，附参考论文资料。(The image edge is extracted by phase consistency, and the region growth is segmented after K-means clustering, and the reference papers are attached.)
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利用相位一致性提取图像边缘，K-means聚类后区域生长进行图像分割，附参考论文资料和相关解释。(The image edge is extracted by phase consistency, and the region growth is segmented after K-means clustering, and the reference papers and relevant explanations are attached.)
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利用相位一致性提取图像边缘，K-means聚类后区域生长进行图像分割，附参考论文资料和相关解释。多目标优化 一个含有两个优化目标的多目标优化问题(The image edge is extracted by phase consistency, and the region growth is segmented after K-means clustering, and the reference papers and relevant explanations are attached. M
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利用相位一致性提取图像边缘，K-means聚类后区域生长进行图像分割，附参考论文资料和相关解释。多目标优化 含有两个优化目标的多目标优化问题(The image edge is extracted by phase consistency, and the region growth is segmented after K-means clustering, and the reference papers and relevant explanations are attached. Mul
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