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Description: k-means聚类算法在二维平面上的可视化实现
聚类时可以设置类数和迭代阈值
聚类结果用色彩和类圆清楚的表现出来-k-means clustering algorithm in a two-dimensional plane with the Visualization of clustering can be set up several categories and iterative threshold Clustering results using color and class round clearly demonstrated
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Size: 45056 |
Author: 周黎明 |
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Description: 本程序利用奇异值分解对3通道彩色图像进行压缩分解，具体步骤如下：
压缩过程：
1. 选取子图像大小K值，把图像分解成M×M个子图像，IMG(s),s=1,2,…, M2，其中M=N/K，原始图像IMG大小为N×N。
2. 计算这M2个子图像的平均值average，对每幅子图像减去均值图像得到新图像。
3. 计算相关矩阵R，其元素定义为 。
4. 计算R的特征值与特征向量，计算每幅子图像与最大特征向量的内积，便得到编码，即压缩后的图像。
-This procedure using singular value decomposition of 3-channel color image compression decomposition, concrete steps are as follows: compression process: 1. Select the sub-image size K value, the image is decomposed into M × M sub-image, IMG (s), s = 1, 2, ..., M2, in which M = N/K, the original image IMG size N × N. 2. M2 calculate the average of sub-image average, for each sub-image minus the new images mean images. 3. Calculation of correlation matrix R, defined as its elements. 4. Calculation of the characteristics of R value and eigenvector calculated each sub-image with the largest eigenvector of the inner product, they will have to code, that is, the compressed images.
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Size: 334848 |
Author: wangweiming |
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Description: 把目标的每个颜色子空间量化为k份后，建立目标模型，在该模型上利用meanshift进行搜索找到最佳位置。-The target for each color sub-space quantization for k copies of, the establishment of the target model, in which the model meanshift use search to find the best location.
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Size: 1024 |
Author: 张瑞娟 |
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Description: Determination of number of clusters in K-Means Clustering and Application in color image segmenta
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Size: 25600 |
Author: liuhong |
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Description: 基于matlab的彩色图像分割，利用k聚类算法-Matlab-based color image segmentation, clustering algorithm using k
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Size: 1024 |
Author: 求是赤子 |
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Description: K均值聚类算法 对图像颜色进行聚类 然后对图像分割-K-means clustering algorithm to cluster the color image segmentation and then
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Size: 135168 |
Author: 小五子 |
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Description: 基于K-MEANS的图像退色算法。平台为MATLAB6.5及以上。-Based on the K-MEANS algorithm image fade
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Size: 191488 |
Author: 臧超 |
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Description: 遥感影像K均值分类算法，针对bmp彩色图像。VC++6.0编程实现。-K means of remote sensing image classification algorithm for bmp color images. VC++6.0 programming.
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Size: 225280 |
Author: |
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Description: This program written in MATLAB will find the clusters centriods using the K-Means algorithm for color images
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Size: 46080 |
Author: ramudu |
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Description: 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 OpenCV.
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Size: 2835456 |
Author: chenwenlue |
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Description: nano- X是一个著名的开放式源码嵌入式GUI 软件，目的是把图形视窗环境引入到运行Linux 的小型设备和平台上。nano-X使用了分层设计的思想，可移植性非常好，nano-X 的图形引擎能够运行在任何支持readpixel，writepixel，drawhorzline, drawvertline 和setpalette 的系统之上，在底层函数的支持之下，nano-X 支持新的Linux内核帧缓存结构，并基于framebuffer来实现图像的绘制。nanox应用程序运行时占用的资源较少，server只有100多K，精巧的设计并不代表功能的简陋，目前提供每像素1、2、4、8、16、24和32位的支持，另外还支持彩色显示和灰度显示. 目前支持的图形文件包括WINDOWS的GIF,JPEG,BMP、PNG、XPM和PBM、PGM、XPM格式。
本程序是MIPS平台下LINUX 2.6下使用NANO-X API 实现数码相框的源程序。-nano-X is a well-known open-source embedded GUI software, the purpose is to introduce graphical Windows environment to run Linux in the small devices and platforms. nano-X uses a hierarchical design ideas, portability is very good, nano-X s graphics engine can run on any supported readpixel, writepixel, drawhorzline, drawvertline and setpalette system above the support function at the bottom, nano-X supports the new Linux kernel frame buffer structure, and to achieve the image-based rendering framebuffer. nanox application run-time occupation of fewer resources, server is only 100 K, compact design does not mean that features simple, currently available 1,2,4,8,16,24 and 32-bit per pixel support, in addition to color display and grayscale support. Currently supported graphic file, including WINDOWS the GIF, JPEG, BMP, PNG, XPM, and PBM, PGM, XPM formats.
This program is under the LINUX 2.6 MIPS platform to use NANO-X API to achieve digital photo frame of the source.
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Size: 1377280 |
Author: 何庭光 |
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Description: Color Image Segmentation using K-mean .
Matlab Code
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Size: 20480 |
Author: Tallha Akram |
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Description: 这是一个关于彩色图像分割的报告，内含源代码及处理结果等，图像分割采用K-mean聚类分割方法。-K-mean cluster segment
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Size: 2631680 |
Author: 3rdo |
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Description: 将彩色图像从RGB转化到lab彩色空间，进行K-mean聚类将图像分割-The color image in RGB color space conversion to lab space , K-mean clustering image segmentation
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Size: 7168 |
Author: zhangfengyuan |
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Description: 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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Size: 3072 |
Author: qing |
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Description: Here we use k-mean algorithm to fuse the colorspace for segmentation
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Size: 199680 |
Author: michael |
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Description: 利用K均值进行图像分割,利用颜色模型（HSV或HSI等）-Image segmentation using K mean, the use of color model (HSV or HSI, etc.)
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Size: 84992 |
Author: zcwl |
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