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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 pixe
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matlab下图像处理技术在智能交通中的应用 主要是小车的跟踪和标示-matlab image processing technology under the Intelligent Transportation System in the main car tracking and labeling
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matlab connected component labeling & sizefilter 图像处理模块，用于对图像进行分块消除噪声-matlab sizefilter image processing module is used to eliminate noise
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区域分割、区域标记。可以标记灰度图像区域的重心，matlab实现，-Region segmentation, region labeling. Grayscale image area can mark the center of gravity, matlab achieve,
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matlab图像处理求取叶片面积，包含去噪，二值化，连通域标记，去除小面积- MATLAB image processing to obtain blade area, including denoising, two value, connected domain labeling, removal of small area
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