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提出了一种新颖的处理图像视觉聚类问题的方法。与以往关注图像局部特征和局部连续性的方法不同，本文中的方法能够提取关于图像的全局印象。为此，我们将图像分割问题转化为图划分问题并提出了划分中的一种全局判别准则——Ncut (Normalized Cut)。Ncut不仅能够衡量不同聚类之间的相异程度，还能够衡量各聚类内部的相似程度。为求解Ncut 的最优化问题，提出了一种基于广义特征值问题的高效算法，并将此算法应用于静态图像分割，取得了良好的效果。-proposed a novel image proc
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Normalized Cut Image Segmentation Code
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图像处理中的多尺度分割程序，使用matlab开发环境-Image processing procedures for multiscale segmentation
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进行normalized cut算法的图像分割-Normalized cut algorithm for image segmentation
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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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基于分水岭算法和图论的图像分割，所使用的方法为分水岭算法和Normalized Cut方法-Based on watershed algorithm and graph theory, image segmentation, the method used as a watershed algorithm and Normalized Cut method
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一种基于图像分割和归一化灰度Hough变换的SAR图像舰船尾迹CFAR检测算法-Image segmentation based on gray scale and normalized Hough transform SAR ship wake image CFAR detection algorithm
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五种当前主要的基于图的图像分割方法（normalized cut, min-cut/max-flow, isoperimetric partitioning, minimum spanning tree and random walker）的论文原文。-The original papers of five main graph-based image segmentation methods. They are normalized cut, min-cut/max-flow, isoperi
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Contour and Texture Analysis for Image Segmentation外籍学习资料-research reference： “Contour and Texture Analysis for Image Segmentation"
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Normalized Cut图像分割程序，matlab代码实现-Normalized Cut image segmentation procedure, Matlab code implementation
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基于对称的图像分割算法(Symmetry based Normalized cut)，matlab代码，分割效果非常好，是向论文作者亲自要来的 参考论文：Gupta. et al., "Extracting Regions of Symmetry", ICIP, 2005。-Image segmentation Matlab code for paper: Gupta. et al., "Extracting Regions of Symmetry", ICIP, 2005.
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图像分割，使用归一化的图像分割方法对图像的分割具有非常好的效果-Image segmentation, image segmentation using normalized method for image segmentation has a very good effect
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对数字图像进行预处理、字符识别等，二值化、梯度锐化、去离散噪声、字符分割、尺寸标准归一化-Preprocessing, character recognition, digital image binary gradient sharpening to discrete noise, character segmentation, size standard normalized
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与以往关注图像局部特征和局部连续性的方法不同，本文中的方法能够提取关于图像的全局印象。为此，我们将图像分割问题转化为图划分问题并提出了划分中的一种全局判别准则——Ncut (Normalized Cut)-Concerned with the past image local characteristics and continuity of local methods, the methods herein can extract images on the overall impressio
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一个图像分割算法—normalized cuts algorithm,兼容64位-An image segmentation algorithm-normalized cuts algorithm, compatible with 64
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Normalized Cut Image Segmentation Code，一种基于图的图像分割算法源代码，效果较好，但运行速度不是很高，可供图像分割初学者学习-Normalized Cut Image Segmentation Code, a graph based image segmentation algorithm
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applies normalized cut on graph obtained from image and segment the image into specified number of regions.
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PCNN脉冲耦合神经网络，可应用与图像分割、边缘检测、细化、识别等方面。-PCNN pulse coupled neural network, and can be applied to image segmentation, edge detection, thinning and recognition, etc.
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Image Segmentation normalization method by J. Shi and J Malik, Normalized Cuts and Image Segmentation
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图像分割算法，基于归一化割，对边缘的识别较准确。(Image segmentation algorithm, based on normalized cut, is more accurate for edge recognition.)
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