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用k-means 做彩色图像分割,分类数可选,Using k-means to do color image segmentation, classification number of optional
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图像分割算法之间的比较,比较前沿的放发,利用了kmeans和模糊K均值,Between the image segmentation algorithm compares the release cutting-edge hair, use a K-means and fuzzy kmeans
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本程序实现了K均值(HCM)算法,ISODATA算法,模糊C均值(FCM),模糊阈值法等对遥感影像的分割。,This program implements K means (HCM) algorithm, ISODATA algorithm, fuzzy C means (FCM), fuzzy threshold law of remote sensing image segmentation.
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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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基于matlab的图像k均值算法,实现对一副彩色图像进行分割。-Matlab image based on k means algorithm, to realize a color image segmentation.
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k均值图像分割,经典的图像分割方法,算法简单,效果好。-k-means image segmentation
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利用k-means算法进行图像分割,效果较好-Using k-means algorithm for image segmentation is better
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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。-Using phase coherence image edge extraction, K-means clustering image after region growing segmentation, attached reference paper.
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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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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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K均值算法实现图像的分割,分割效果可以达到预期的效果-K-means algorithm to achieve image segmentation, segmentation results can be achieved the desired results
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K均值聚类算法 由于对纹理图像使用灰度共生矩阵分割效果不明显 因此该算法使用图像频域进行处理-K-means clustering algorithm because of the texture image segmentation using the gray co-occurrence matrix effect was not obvious, therefore use the algorithm for processing images in frequency domain
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K均值 很好用的K均值代码 -K-means K-means used in a very good code
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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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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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台湾大学几位学者写的基于K-均值算法的快速图像分割,用到基于HSV颜色空间的直方图-Fast Image Segmentation Based on K-Means
Clustering with Histograms in HSV Color Space
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基于纹理度量的图像分割,适用于遥感图像,主要利用到K-mean算法。-Image segmentation based on texture measurement for remote sensing image, the main advantage of K-mean algorithm.
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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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Efficient Graph-Based Image Segmentation & k-means Image Segmentation
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增加椒盐噪声对图像进行去噪处理后,实现图像分割(Adding salt and pepper noise to image denoising,realization of image segmentation)
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