Description: 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 parts, the two values can be used as the source, K-means algorithm can be divided into images of arbitrary multi-part. Procedures used directly in R, G, B color as the characteristic parameters for the cluster center random value, of course, can also be used for other parameters, procedures EXE compiler to speed document acceptable, but there is still room for improvement, but the master of the time change, then please give me also made in the code. Platform: |
Size: 50176 |
Author:pbt |
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Description: 采用K均值聚类算法的原程序，能够对灰度图像进行据类方法分割-K means clustering algorithm using the original procedure, able to gray-scale image segmentation method according to category Platform: |
Size: 6144 |
Author:fanjihong |
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Description: 用matlab实现的图像k均值分割，很好用的，以经过验证-Using matlab to achieve k-means image segmentation, well used to a proven Platform: |
Size: 34816 |
Author:zhangyan |
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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: K均值聚类算法 由于对纹理图像使用灰度共生矩阵分割效果不明显 因此该算法使用图像频域进行处理-K-means clustering algorithm because of the texture image segmentation using the gray co-occurrence matrix effect was not obvious, therefore use the algorithm for processing images in frequency domain Platform: |
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Author:小五子 |
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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: 一个根据laws能量测度对纹理图像进行分割的程序，分割过程采用K均值聚类的方法-A measure of energy under the laws of the texture image segmentation process, the process of segmentation method using K means clustering Platform: |
Size: 38912 |
Author:dsfdsf |
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Description: segmentation of brain from MRI image using k-means-segmentation of brain from MRI image using k-means Platform: |
Size: 647168 |
Author:krish |
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Search - image segmentation using k means