Description: 用k-means 做彩色图像分割，分类数可选-Using k-means to do color image segmentation, classification number of optional Platform: |
Size: 1024 |
Author:卢学 |
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Description: image segmentation K-means for image of color space RGB-image segmentation K-means for image of color space RGB Platform: |
Size: 1024 |
Author:Doris |
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Description: 自己根据K-MEANS思想在MATLAB下实现的彩色图像分割算法程序，用最普通的语句实现，通俗易懂。可以直接用于对彩色细胞图像的分割，分割结果比较准确，-K-MEANS in accordance with their own ideas in MATLAB to achieve color image segmentation algorithm based on the procedures used to achieve the most common statement, user-friendly. Can be directly used for color cell image segmentation, more accurate segmentation results, Platform: |
Size: 280576 |
Author:王悦东 |
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Description: 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 image, convert to grayscale image segmentation, the output of grayscale images. The use of gray as the characteristics of each pixel clustering, due to light and other reasons, and sometimes should belong to an object pixel, its gray value will also be very different, may lead to clustering of the pixel error has occurred. in the segmentation results, the surface, there would be different from other pixel noise points, so , the algorithm Finally, the results of a median filter to eliminate noise, to the role of smoothing the image Platform: |
Size: 335872 |
Author:caoliang |
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Description: In this project ,we propose a color based segmentation method that uses the c means clustering technique to track tumor objects in magnetic resonance (MR) brain images. The key concept in this color based segmentation algorithm with k means means to convert a given gray level MR image in to a color space image and then separate the position of tumor objects from other items of an MR image by using c means clustering
And histogram clustering .Experiments demonstrates that the method can successfully achieve segmentation for MR brain images to help pathologists distinguish exactly lesion size and region.
-In this project ,we propose a color based segmentation method that uses the c means clustering technique to track tumor objects in magnetic resonance (MR) brain images. The key concept in this color based segmentation algorithm with k means means to convert a given gray level MR image in to a color space image and then separate the position of tumor objects from other items of an MR image by using c means clustering
And histogram clustering .Experiments demonstrates that the method can successfully achieve segmentation for MR brain images to help pathologists distinguish exactly lesion size and region.
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Size: 2048 |
Author:pramod |
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Description: 基于matlab的图像k均值算法，实现对一副彩色图像进行分割。-Matlab image based on k means algorithm, to realize a color image segmentation. Platform: |
Size: 1024 |
Author:李兴泽 |
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Description: 该代码能够实现K均值聚类算法对彩色图像分割，在MATLAB下实现。-The code can achieve K means clustering algorithm to color image segmentation, in MATLAB to achieve. Platform: |
Size: 1024 |
Author:牛少敏 |
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Description: 一个快速k均值彩色图像的分割算法，运行环境是matlab！-A fast k-means algorithm for color image segmentation, the operating environment is matlab! Platform: |
Size: 2048 |
Author:shirley |
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Description: 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 Platform: |
Size: 1024 |
Author:小王 |
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Search - matlab k means color image segmentation