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基于opencv的分水岭算法，可以用来实现图片的快速分割-Opencv-based watershed algorithm can be used for fast image segmentation
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医学图像分割的实验报告(包含源程序)，主要内容包括：不同算子（Sobel、Prewitt、Roberts、Laplacian）的边缘提取效果分析；阈值分割；以及watershed方法的分割讨论。-The implementation and discussion for fundamental medical image segmentation algorithms, including edge extracting algorithm, thresholding methods and w
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实现分水岭算法分割图像，使用梯度的分水岭分割来解决图像的分割问题-Watershed algorithm for image segmentation, watershed segmentation using the gradient to solve the image segmentation problem
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分水岭算法对微弱边缘具有良好的响应，图像中的噪声、物体表面细微的灰度变化，都会产生过度分割的现象。-Watershed algorithm for weak edge has good response, the noise of the image object surface small gray level change, will have the phenomenon of excessive segmentation
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用于而为二维图像分割，具有普适性和效果良好的特点，是常用算法之一-For the two-dimensional image segmentation, good results have universal characteristics and is commonly used algorithms
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