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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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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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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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使用K-MEANS算法进行图像的分割,并且有详细的语句注释-K-MEANS algorithm using image segmentation, and a detailed statement notes
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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-means Clustring sub routine very useful Texture Image Segmentation
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k-means image segmentation algorithm
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image segmentation by using k means clustering algorithm
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对彩色图像进行K均值的图像分割,可用于模式识别-K on the mean color image segmentation, can be used for pattern recognition
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图像分解算法,四种方法可选,包括threshold, K means threshold, region growing以及gradient based segmentation-Image decomposition algorithm, four methods available, including the threshold, K means threshold, region growing and gradient based segmentation
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segmentation of brain from MRI image using k-means-segmentation of brain from MRI image using k-means
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用于图像分割的方法很多,其中基于K均值的图像分割方法较为常用,本程序附有详细注解-Image segmentation method based on K-means, with detailed notes
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Generate the code for K-means algorithm for image segmentation
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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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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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image segmentation k-means algorithm matlab
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关于运用K均值算法进行简单的图像分割的代码(On the use of K-means algorithm for simple image segmentation code)
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关于运用ICM算法和K均值算法进行简单的图像分割的代码(On the use of ICM algorithm and K-means algorithm for simple image segmentation code)
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