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live-wire是一种常用于医学图像的交互式分割方法,其基本思想是利用动态规划方法产生图像中给定两点间的最优路径,合理地构造代价函数和选择起始点和目标点,用以提取物体的边缘,十分有效,该份文件中包含说明文件,操作方便.-live-wire is a common medical images in the interactive segmentation method, The basic idea is to use dynamic programming methods to image
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snake 图像分割程序，含有主程序和子程序，简单的交互式控制点选择-snake image segmentation process, with the main program and subprogram, a simple interactive control point selection
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MICCAI2008脑影像分割文章，包括Interactive Liver Tumor Segmentation using Graph-cut and watershed等-Brain image segmentation MICCAI2008 articles, including the Interactive Liver Tumor Segmentation using Graph-cut and watershed, etc.
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Graph Cuts是一个图像分割方法，具有交互式分割，分割效果很好。-Graph Cuts is an image segmentation method, with interactive segmentation, segmentation works well.
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实现了二维图像的种子填充算法，该算法可以用来被用来实现脑图像的交互式分割-Using vc++ implementation of the two-dimensional image of the seed filling algorithm, which can be used be used to achieve interactive segmentation of brain images
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GrowCut algorithm from "GrowCut" - Interactive Multi-Label N-D Image Segmentation：可用于目标提取的分割算法，包括算法原文
-GrowCut algorithm from " GrowCut" - Interactive Multi-Label ND Image Segmentation: segmentation can be used for object extraction algori
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This literature review attempts to provide a brief overview of some of the most common segmentation techniques, and a comparison between them. It discusses the “Grab-Cut” technique, and reviews some some of the common matting techniques. The graph cu
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实现了三维超声PNN算法的GPU加速；实现GPU加速的CT圆轨道平板探测器FDK重建算法；提供对canny边缘检测算法的支持；提供交互式graph cut分割方法；实现OSTU分割算法；-Three dimensional ultrasound PNN algorithm GPU acceleration to achieve GPU accelerated CT reconstruction algorithm for circular orbits FDK flat panel detec
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实现了区域合并的图像分割的经典方法，是Interactive Image Segmentation by Maximal Similarity based Region Merging 论文的源码，可以好好研究-Regional integration to achieve the classic method of image segmentation is the Interactive Image Segmentation by Maximal Similarity based Regio
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彩色图像分割，灰常不错。This function implements kmeans clustering on an input RGB (m x n x 3)
image. The user inputs at least two inputs: IMGIN and NCLUSTERS, and this
function will step through an interactive color segmentation using kmeans clustering. It
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一个用于图像分割的程序，需要事先的人工标定，很有意思。-One for the image segmentation process that requires manual calibration in advance, very interesting.
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SegmentIt: Watershed Based Image Segmentation Tool. This interactive segmentation tool allows to switch back and forth between the watershed approaches (watershedSegmentIt: Watershed Based Image Segmentation Tool.
-SegmentIt: Watershed Based Image
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本文介绍了一种结合live wire算法和活动轮廓模型的医学图像序列的分割方法.我们通过把live wire
算法和图像分割中一般的区域增长方法结合来改进live wire算法,并用改进后的算法来对医学图像序列中的单张或
多张切片进行交互式的准确分割.然后计算机利用活动轮廓模型来自动分割相邻的未分割切片.我们通过在活动轮廓
模型的边缘点中引入记录已分割物体边缘附近局部区域特征的灰度模型来把已分割切片中的物体与背景的局部区域
特征带入相邻的未分割切片中,并用由灰度模型定义的区域相似
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交互式图像分割英文论文数篇，学习交互式图像分割十分有用。-Several English dissertations on interactive image segmentation, useful for learning interactive image segmentation.
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Tae Hoon Kim教授的Nonparametric Higher-Order Learning for Interactive Segmentation源码-Tae Hoon Kim, Professor Nonparametric Higher-Order Learning for Interactive Segmentation
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借组VTK实现的实时交互分割，可以分割出任意方向的二维切片显示，在实现效果上非常好，但是交互速度较慢。-By the group to achieve real-time interactive segmentation VTK can be divided in any direction 2D slices show that achieving the effect is very good, but the interaction is slow.
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图像交互是分割 graph cut,实现交互式分割，并且可以连续分割-Interactive image is split graph cut, to achieve interactive segmentation, and can be continuously split
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交互式图像分割，是根据Yuri Boykov and Marie-Pierre Jolly的文章，用C++和OpenCV实现的-Automatic image segmentation is a hard problem and, is not flexible enough to be used for general segmentation. The objective of this project is to implement an interactive image segment
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使用C++编写的alpha-matting图像抠图程序-Interactive segmentation of objects in photos using alpha-matting technique.
This task, also known as intelligent scissor works in particular for
semi-transparent objects and fuzzy borders.
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基于区域合并最大相似度的交互式图像分割算法，很好的。Interactive Image Segmentation by Maximal Similarity based Region Merging,-Interactive Image Segmentation by Maximal Similarity based Region Merging,
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