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利用改进的脉冲神经网络完成灰度图像的分割-The use of impulsive neural networks to improve the completion of gray-scale image segmentation
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基于VS2005的CT图像分割算法,在医学图像处理领域有重要作用。-VS2005 the CT-based image segmentation algorithm, in the field of medical image processing has an important role.
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OTSU Gray-level image segmentation using Otsu s method.
Iseg = OTSU(I,n) computes a segmented image (Iseg) containing n classes
by means of Otsu s n-thresholding method (Otsu N, A Threshold Selection
Method from Gray-Level Histograms, IEEE
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用几何变形模型进行医学图像分割,硕士论文,值得下载。-Using geometric deformable models for medical image segmentation, master s thesis, it is worth download
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水平集代码和论文,图像分割,快速有效的图像分割方法-code and paper about level set,image segmentation
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图像分割处理,运行与VC平台,可以很容易提取c源码。我的毕业论文就是靠它的一份力量-Image Segmentation deal, run with the VC platform, can easily retrieve c source. My thesis is that a force relied
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图像分割是一个经典难题,从七十年代起图像分割问题就吸引了很多研究人员为之付出了巨大的努力,但到目前为止还不存在一个通用的方法,也不存在一个判断分割是否成功的客观标准。本文对图像分割方法,特别是近几年来图像分割领域中出现的新思路、新方法,或对原有方法的新的改进给出了一个比较全面的综述。-image segmentation
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数字图像处理的常见算法 各种滤波程序
图像分割 图像复原 图像形态 运动图像分析 图像配准-Digital image processing a variety of filtering procedures common algorithm image restoration image segmentation image morphological image analysis Sports Image Registration
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基于em算法的图象分割程序,是图象分割的一类重要算法.-Em algorithm based on image segmentation process of image segmentation are essential for a class of algorithms.
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基于高斯混合模型markov树算法的图像分割-Gaussian mixture model based markov tree algorithm for image segmentation. . .
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Em segmentation algorithm applied for image segmentation
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A Spatially-Constrained Mixture Model for Image Segmentation, by
K. Blekas, A. Likas, N. Galatsanos and I. Lagaris-A Spatially-Constrained Mixture Model for Image Segmentation, by
K. Blekas, A. Likas, N. Galatsanos and I. Lagaris
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Image segmentation by clustering
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Maximum Shannon information entropy的图像分割,是结合概率统计的方法进行的分割,理论上可以得到图像分割的更多细节。打开即可使用-Maximum Shannon information entropy of the image segmentation, is a combination of the methods of probability and statistics division, in theory, image segmentation can
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图像分割 模糊聚类分割算法 通过MATLAB实现的C聚类分割算法,输入分割类别数。可以得到分割后的图像对比-Image segmentation algorithm based on fuzzy clustering partition
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基于matlab的彩色图像分割,利用k聚类算法-Matlab-based color image segmentation, clustering algorithm using k
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基于均值漂移算法实现图像的分割,总共带有三个文件,其中两个是两个子程序-Based on mean-shift image segmentation algorithm, with a total of three documents, two of which are the two subroutines
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Theba image segmentation framework
图像分割-Theba image segmentation framework of image segmentation
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Multiresolution Image Segmentation
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通过模糊c-均值(FCM)聚类实现图像的分割。-Through the fuzzy c-means (FCM) clustering to achieve image segmentation.
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