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用于图像处理,利用分水岭方法实现灰度图像的分割-For image processing, gray-scale implementation Ways to use a watershed image segmentation
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基于标记约束的分水岭分割程序
简单的图像分割算法-Marked a watershed-based segmentation procedure bound
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3.使用梯度的两次分水岭分割程序 可以实现相关功能-The use of gradient watershed segmentation of the two procedures
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分水岭分割方法,是一种基于拓扑理论的数学形态学的分割方法,其基本思想是把图像看作是测地学上的拓扑地貌,图像中每一点像素的灰度值表示该点的海拔高度,每一个局部极小值及其影响区域称为集水盆,而集水盆的边界则形成分水岭。分水岭的概念和形成可以通过模拟浸入过程来说明。在每一个局部极小值表面,刺穿一个小孔,然后把整个模型慢慢浸入水中,随着浸入的加深,每一个局部极小值的影响域慢慢向外扩展,在两个集水盆汇合处构筑大坝,即形成分水岭。
-Watershed segmentation method is a
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HIERARCHICAL WATERSHED SEGMENTATION OF CANOPY HEIGHT MODEL FOR MULTI-SCALE FOREST INVENTORY-HIERARCHICAL WATERSHED SEGMENTATION OF CANOPY HEIGHT MODEL FOR MULTI-SCALE FOREST INVENTORY
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用matlab实现了分水岭算法,进而对图像进行分割,可以用来左遥感图像的处理-Using matlab watershed algorithm, and then the image segmentation, and can be used to the left remote sensing image processing
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matlab分水岭算法图像分割
Image=imread( D:\Backup\我的文档\My Pictures\clip_image002.jpg ) -matlab watershed algorithm for image segmentation Image = imread (' D: \ Backup \ My Documents \ My Pictures \ clip_image002.jpg' )
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watershed segmentation code
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利用最大熵阈值,来进行分水岭分割算法,进行有效分割
-Using the maximum entropy threshold for watershed segmentation algorithm for effective segmentation
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数字图像阀值分割各种方法 最大熵 OTSU 双峰法 迭代法 分水岭算法 -Digital image threshold segmentation methods maximum entropy OTSU method of bimodal iterative method of watershed algorithm
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风水岭图像分割
Image Segmentation by Watershed-Image Segmentation by Watershed
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Program to perform watershed segmentation
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改进分水岭方法实现图像分割,已运行成功,可供需要者下载参考学习。-Improved watershed image segmentation method has been run successfully, for those who need to download reference learning.
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在图像立体匹配过程中,经常用到分水岭算法,对图像进行分割,然后进行立体匹配-In stereo matching process, often used watershed algorithm for image segmentation and stereo matching
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this is a code for segmenting images using the watershed algorithm. the Pdf paper to accopaning this work is attached to this document
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WATERSHED SEGMENTATION OVER MULTIPLE ARIES
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