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图像分割元代码，对大部分人学习图割算法进行了实现-Image segmentation element code, for most people to learn graph cut algorithm to achieve
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（转）vc 的 图像分割
命令行 格式：
segment 0.5 300 50 17.ppm 17out.ppm-(Transgenic) vc the command-line format for image segmentation: segment 0.5 300 50 17.ppm 17out.ppm
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This paper provides an algorithm for partitioning grayscale images into disjoint regions of coherent
brightness and texture. Natural images contain both textured and untextured regions, so the cues of contour and
texture differences are exploited
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这是一个很好的彩色图像分割源代码，实验结果不错，希望对大家有帮助-This is a good color image segmentation source code, experimental results well, want to help everyone
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割图的算法，国际上正流行的图像分割方法，希望对大家有帮助-Cut graph algorithms, the international community is a popular image segmentation method, we want to help
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一种改进的图象分割程序,分割出来效果相当好,尤其对于丰富的图象,保证别人没有上传过-Based on graph cut image segmentation algorithm, split the result was very good, especially for texture-rich images, ensure that no one else uploaded
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Graph Cuts Approach to the Problems of Image Segmentation
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Otsu算法是图像分割算法中比较实用和高效的一种，对图像的后续处理有很好的作用-Otsu algorithm is image segmentation algorithm in a more practical and efficient, the follow-up processing of the images have a good effect
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efficient Graph-Based image Segmentation C++ code(with visual 2008)
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基于图论的图像分割，使用区域之间和区域内部进行比较的准则，对于风景图片效果不错。-Graph-based image segmentation, using the region based comparison criteria, good for scene images.
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立体视觉Gaussian Super-pixel Based Fast Image Segmentation Using Graph Cuts.-Gaussian Super-pixel Based Fast Image Segmentation Using Graph Cuts.
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survey of graph cut(for image segmentation
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改进的T- Snake 算法首先在分水岭法中, 对相邻区域以其像素数、灰度均值和灰度方差定义距离, 并据其在图像上建立新的连通图, 以对图像过度分割而产生的一些过小区域合并 其次, 在模型跨边缘时, 利用已分割断层图像中模型内部区域的统计特征, 用区域生长法获取内点并重新参数化模型, 使模型不再跨边缘, 以保证模型形变到正确的边缘-Improved T-Snake algorithm first law in the watershed, the number of pixels in its
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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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下面这个论文描述的分割算法的实现：
Efficient Graph-Based Image Segmentation
Pedro F. Felzenszwalb and Daniel P. Huttenlocher
International Journal of Computer Vision, 59(2) September 2004.
这个程序使用彩色图像（PPM格式）并为产生的分割结果的每个区域随机分配颜色。-Implementation of the seg
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基于图的有效的图像分割算法，此算法使用聚类来进行图像分割，分割结果快而精确-Efficient Graph-Based Image Segmentation,which is using clustering to segment image.The algorithm runs in time nearly linear in the number of graph edges and is also fast in practice
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针对图像分割应用中阈值难以确定的问题，提出一种基于图论的图像分割算法-In view of the image segmentation threshold is difficult to determine the problems in the application, put forward a kind of image segmentation algorithm based on graph theory
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Efficient Graph-Based Image Segmentation & k-means Image Segmentation
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code for Efficient Graph-based Image Segmentation
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this program for efficient graph based image segmentation
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