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这个应用程序是使用k均值聚类算法分割一个灰度图像-Application of kmeans clustering algorithm to segment a grey scale image on diferent classes.
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EM算法实现,是matlab主站上获得的可靠程序。-EM algorithm,which is from the matlab net about image processing.
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this a code to segment the color texture using Gabor filter. It uses the initial segmentation using kmeans clustering.-this is a code to segment the color texture using Gabor filter. It uses the initial segmentation using kmeans clustering.
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四种聚类算法源代码及示例代码,本程序的最终目的是形成一套标准的用于聚类、可扩展的工具。包括的内容有1. 聚类算法:Kmeans和Kmedoid算法、FCMclust, GKclust, GGclust算法 2. 评估分类原型:程序可以在二维图像上绘制出聚类的结果 3. 验证:程序给每一个算法提供验证机制,每个聚类算法会统计Partition Coefficient (PC), Classification Entropy (CE), Partition Index (SC), Separatio
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1 Kmeans clustering. output the BW image and save the ROI to the file.
2 label the image with certain conditions. in this file I chose the area and round ratio.
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KMeans图像聚类分割:用K-Means聚类方法来对图像进行分割。主要是对图像的颜色进行聚类。开发环境:VC6,需要安装OpenCV。-KMeans clustering in image segmentation: with K-Means clustering approach to image segmentation. Mainly the color of the image cluster. Development Environment: VC6, need to install
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Kmeans 聚类,graphcut 图像分割,最大流最小割算法-Kmeans clustering, graphcut image segmentation, the maximum flow minimum cut algorithm
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This function implements kmeans clustering on an input RGB (m x n x 3) image.
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Segments all the planes in an image.... using Kmeans Clustering algorithm
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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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本程序的最终目的是形成一套标准的用于聚类、可扩展的工具。包括的内容有1. 聚类算法:Kmeans和Kmedoid算法、FCMclust, GKclust, GGclust算法 2. 评估分类原型:程序可以在二维图像上绘制出聚类的结果 3. 验证:程序给每一个算法提供验证机制,每个聚类算法会统计Partition Coefficient (PC), Classification Entropy (CE), Partition Index (SC), Separation Index (S), Xi
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一种基于K均值聚类的彩色图像颜色增强方法,输入已知前景部分RGB值,代码将根据设定值对输入图像进行重新聚类,并进行灰度图像颜色增强,以利于后续二值化处理-K-means clustering-based color image color enhancement method, enter the known foreground RGB values , the code will re-clustering of the input image according
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此代码为模糊C均值聚类的图象分割算法的MATLAB实现-This code is the image of the fuzzy C-means clustering segmentation algorithm in MATLAB
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运用C实现了数字图像的一些基本算法,包括canny edge detection,阈值变换,维纳滤波,直方图均衡,图像细化,旋转,图像配准,图像分割kmeans, isodata, fuzzy c means, fuzzy clustering, mrf image seg, 图像浏览,road svm using matlab, snakes matlab, anistropic gaussian filter-Canny edge detection, threshold transform
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K-means clustering image
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数据挖掘kmeans图像聚类实验报告
用 VC 或 Java 实现 k-means 聚类算法, 分别以迭代次数及分配不再发生变化为算法终止条件,用图片(自己选择)作为数据集,比较运行时间(画出时间与像素点的关系曲线图,因此须用多幅像素个数不同的图片进行实验) 提交实验报告与源代码。 -Data mining to achieve the k-means clustering algorithm the kmeans image clustering experiment report wit
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2D-Kmeans clustering algorithm. It can be used for audio(source localization) and image clutstering(object clustering in an image)-2D-Kmeans clustering algorithm. It can be used for audio(source localization) and image clutstering(object clustering i
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image classification algorithm : k-means clustering implementation is provided herewith, which is an unsupervised clustering method
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数据挖掘kmeans图像聚类实验,用 VC 或 Java 实现 k-means 聚类算法, 分别以迭代次数及分配不再发生变化为算法终止条件,用图片(自己选择)作为数据集,比较运行时间(画出时间与像素点的关系曲线图,因此须用多幅像素个数不同的图片进行实验) 提交实验报告与源代码-Data mining kmeans image clustering experiments, using VC or Java implementation of k-means clustering algorith
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数据挖掘kmeans图像聚类实验,用 VC实现 k-means 聚类算法, 分别以迭代次数及分配不再发生变化为算法终止条件,用图片(自己选择)作为数据集,比较运行时间(画出时间与像素点的关系曲线图,因此须用多幅像素个数不同的图片进行实验),提交实验报告与源代码-Kmeans image clustering data mining experiments with VC k-means clustering algorithm, respectively, the number of itera
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