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Description: 基于Mean Shift的图像分割过程就是首先利用Mean Shift算法对图像中的像素进行聚类，即把收敛到同一点的起始点归为一类，然后把这一类的标号赋给这些起始点，同时把包含像素点太少的类去掉。然后，采用阈值化分割的方法对图像进行二值化处理。-Mean Shift Based on the process of image segmentation is the first to use the image Mean Shift algorithm for clustering of pixels, that is, to converge to the same point as a starting point to the category and then assigned to this type of labeling of these starting points, at the same time to contain too few pixels to remove the category. Then, using thresholding segmentation method of binary image processing.
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Size: 1024 |
Author: mayan |
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Description: 对图像进行模糊化处理，对图片的计算量大，所以运行结果得差不多1分钟才能出来-Blurring the image processing
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Size: 51200 |
Author: yuxiaoping555 |
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Description: 我们先借助Mean Shift算法的分割特性将灰度值相近的元素进行聚类，然后，在此基础上应用阈值分割算法，达到将图像与背景分离的目的。-We first use the division characteristics of the Mean Shift algorithm, the grey value of similar element in the cluster, and then, on the basis of using threshold segmentation algorithm, to achieve the purpose of the image and background separation.
Platform: |
Size: 1024 |
Author: xj |
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