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k均值用于图像分割,对于相同颜色但深度不一样可以分割。-k-means for image segmentation, the same color depth can be split.
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在诸多的图像分割算法中,K-means聚类方法体现出了高效性和简洁性。该代码完整实现了k-means算法,并利用该算法进行图形分割。k-means 算法接受参数 k,然后将事先输入的n个数据对象划分为 k个聚类以使得所获得的聚类满足:同一聚类中的对象相似度较高,不同聚类中的对象相似度较小。聚类相似度是利用各聚类中对象的均值所获得一个“中心对象”(引力中心)来进行计算的。-This code implements the K-means method for image segmentation,
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k均值图像分割源码,可对灰度图像进行三类聚类-k-means image segmentation source, three types of clustering of grayscale images
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基于K-eans聚类算法的图像分割方法,对学习理解K-eans聚类能提供很大的帮助。-Image segmentation method based on K-eans clustering algorithm,which provides a great help in learning to understand the K-eans cluster.
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K均值,ISODATA算法进行图像分割算法-K-means, ISODATA algorithm for image segmentation algorithm
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k-means用于图像分割,其中包干用于测试的图像及测试的结果-k-means for image segmentation, it contains test images and the results
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一个 k-means 分割彩色图像,很不错,试验了可以用,相当不错-
The initial k-means algorithm for image segmentation, it is suitable for beginners
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基于K-means、图像多维组合、PCA三种方式的遥感图像分割。将几幅多波段遥感图像区分出区民区、水域和其它。-Remote sensing image segmentation K-means, multidimensional image combination, PCA based on three ways. The pieces of Multispectral Remote Sensing Image distinguish Kumin, watershed and other.
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K-means图像分割,简单方便的经典图像分割方法~-K-means image segmentation
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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,附有参考资料-Using phase coherence image edge extraction, the K-means clustering region growing image segmentation, with reference
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K-means 聚类算法Matlab代码,基于 K-means 聚类算法的图像区域分割-K-means clustering algorithm Matlab code, image region segmentation based on K-means clustering algorithm
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将K-means聚类算法应用于图像的分割,留有较多的其他特征接口。-The K-means clustering algorithm is applied to image segmentation, leaving more other features of the interface.
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matlab中K-means聚类算法在CIElab空间的可用于车牌检测,基于色彩的图像分割-K- means clustering algorithm in matlab in the CIElab space can be used for license plate detection, image segmentation based on color
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西电 电子工程学院 智能科学与技术
DSP智能平台实验 C语言程序代码 K-means 图像分割-West Electronics Engineering, Science and Technology, Intelligent Intelligent DSP experimental platform C language code K-means image segmentation
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基于K均值聚类的彩色图像分割算法,最简单的聚类算法,可以看一下-K-means clustering segmentation algorithm based on the color image, the most simple clustering algorithm, can look
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图像处理,C++环境下的k-means聚类算法,实现图像分割-Image processing, k-means clustering algorithm C++ environment, image segmentation
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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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图像处理领域,基于 K-means 聚类算法的图像区域分割(Image processing domain, image region segmentation based on K-means clustering algorithm)
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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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k均值聚类提取,适合学习。先将RGB图像转换到LAB空间,在LAB空间进行聚类分割。(K-means clustering is suitable for learning. First convert the RGB image to LAB space and perform clustering and segmentation in the LAB space.)
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