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利用聚类算法分割图像,将维对分法只可将图像分为2部分,可以作为二值化的代码,K-均值法可将图像分为任意多部分。程序直接采用R、G、B三色作为特征参数,聚类中心为随机值,当然也可以采用其他参数,程序编译为EXE文件后速度还可以接受,但尚有改进的余地,那位高手有空修改的话,请给我也发份代码。-clustering algorithm using image segmentation, Victoria right method can only image is divided into two p
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彩色分割后8连通处理,给出了彩色图像的一种聚类算法-after eight color segmentation connectivity, a color image is a clustering algorithm
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IRIS数据
用于聚类方法
主要用于模式识别、图像分割等-IRIS data for clustering method used pattern recognition, image segmentation, etc.
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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。-k-means clustering algorithm source code. Kmeans is a common segmentation algorithm is simple but efficient.
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直方图模糊聚类算法,编译环境VC6.0,语言c,可以移植到到linux系统运行。算法功能图像分割-histogram fuzzy clustering algorithms, compiler environment VC6.0, language c, ported to Linux operating system. Functional image segmentation algorithm
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利用matlab实现彩色图像的分割。算法主要是利用聚类算法。-using Matlab color image segmentation. This algorithm is to use clustering algorithm.
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自己编写的使用聚类方法进行彩色图象分割 效果还可以-themselves prepared for the use of clustering methods color image segmentation can also effect
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基于遗传聚类的彩色图像分割,用caj 打开,很好的毕业论文-based on genetic clustering color image segmentation, PRODUCTS opened with a good thesis
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FCM图像聚类分割FCM image clustering segmentation(FCM image clustering segmentation)
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超像素图像分割方法,简单线性迭代聚类,用于自然影像/遥感影像分割等(superpixel image segmentation, simple linear iterative clustering)
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spectral clustering for image segmentation.
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使用SLIC算法的分割,运用DBSCAN算法进行聚类,亲测可用!!!(Segmentation using SLIC algorithm, using DBSCAN algorithm for clustering, pro test available! ! !)
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FCM WITH 2D CLUSTERING AND LEVEL SET METHOD
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segmentation of images using clustering techniques
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聚类分割实现的MRI图像分割,效果还算可以,硕士算法是在这个基础上改进的。(The MRI image segmentation achieved by clustering segmentation is acceptable. The master algorithm is improved on this basis.)
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SSC经典的稀疏子空间聚类算法,matlab代码,可用于图像分割,图像识别等(SSC based matlab,can be used for image segmentation,image recognization and so on)
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用于医学图像的支持向量机分割,没有嵌套,简单易懂,对学习聚类分割有很大的帮助(Mean clustering segmentation for medical images, no nesting, easy to understand, great help for learning clustering segmentation)
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UNSUPERVISED LOCATION-BASED SEGMENTATION OF MULTI-PARTY SPEECH的配套源码,G. Lathoud, I.A. McCowan and J.M. Odobez
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利用meanshift算法对图像进行滤波。meanshift可用于滤波、追踪、聚类、分割等(The image is filtered by means of shift algorithm. Meannshit can be used for filtering, tracking, clustering, segmentation, etc.)
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该课题为基于kmeans的聚类分割,输入一张彩色图像,可以选择需要分割成多少类,就会以不同颜色区分不同的块,带有GUI界面,操作丰富。(This topic is based on Clustering Segmentation of kmeans. Input a color image, you can choose how many categories you need to segment, and then different blocks will be distinguished
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