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this is mean shift one of image processing famous segmentation techniques, it is programmed in matlab,this is mean shift one of image processing famous segmentation techniques, it is programmed in matlab
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Image processing Mean Filter using Microsoft Visual C Sharp
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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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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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mean shift图像分割软件,只能对灰度图像进行处理,如果对彩色图像进行处理,需要转换-mean shift image segmentation software, only for grayscale image processing, if the right color image processing, needs to be converted
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对于初学者学习matlab很有帮助,尤其在图像处理方面更是很好的啊。-For beginners learn matlab ® helpful, especially in the image processing is very good.
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用Visual C++实现了用Mean Shift算法进行图像滤波和分割,可以对灰度图像和彩色图像进行处理-Using Visual C++ implementation using Mean Shift algorithm for image filtering and segmentation, can be gray images and color image processing
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李志国硕士学位论文:基于Mean Shift算法的目标跟踪.目标跟踪技术在军事、工业、安保、智能交通、医学和科学研究等方面都具有重要的意义,应用前景广阔.目标跟踪把图像处理、自动控制、信息科学有机结合起来,形成了一种能从图像信号中实时地自动识别目标、提取和预测目标位置信息、自动跟踪目标运动的技术,是当前计算机视觉、模式识别与智能系统等领域研究的重要课题.-Li Zhiguo Master Thesis: Based on Mean Shift Algorithm for Target Track
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主要是介绍图像处理中叶片面积,用Mean-shift算法进行图片进行平滑,然后进行灰度化、二值化-Mainly on the leaf area of image processing, image smoothing using the Mean-shift algorithm, and then to gray, binarization ......
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较全的mean shift算法合集,有基于meann shift算法的图像平滑处理,图像分割,图像聚类
-Than the whole of the mean shift algorithm Collection, image smoothing processing based on meann shift algorithms, image segmentation, image clustering
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这是一个很好的学习图像处理的代码,实现的功能主要是均值漂移-This is a good learning image processing code, the main function of the mean shift
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用于数字图像处理,均值漂移算法的实现,matlab代码实现,具有较好的借鉴意义-For digital image processing, implementation of the mean shift algorithm
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The goal of segmentation is to simplify and change the representation of an image into something that is more meaningful and easier to analyze. Here similar looking pixels are grouped together for efficiency of further processing. In segmentation a l
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mean-shift和medoidshift的核函数,可以用到图像处理和分割方面,注意只有核函数-mean-shift and medoidshift kernel functions that can be used in image processing and segmentation, note that only the kernel function
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