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  1. paper1

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  2. 基于双边滤波的主动轮廓模型细胞图像分割方法研究-Research on segmentation of active contour model for cell image based on bilateral filtering
  3. 所属分类:Communication

    • 发布日期:2017-04-16
    • 文件大小:211.97kb
    • 提供者:li
  1. paper3

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  2. 基于分水岭变换和主动轮廓模型的舌体轮廓图像分割-The tongue contour image watershed transform and an active contour model based segmentation
  3. 所属分类:Communication

    • 发布日期:2017-05-02
    • 文件大小:743.42kb
    • 提供者:li
  1. MCVEM_version1-0.tar

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  2. This the MATLAB code that was used to produce the figures and tables in Section V of F. Forbes and G. Fort, Combining Monte Carlo and mean-field like methods for inference in Hidden Markov Random Fields, Accepted for publication in IEEE Trans. on
  3. 所属分类:Communication

    • 发布日期:2017-04-06
    • 文件大小:676.26kb
    • 提供者:jeevithajaikumar
  1. seg-ijcv[1]

    1下载:
  2. Graph-Based Segmentation 是经典的图像分割算法,该算法是基于图的 贪心聚类 算法,实现简单,速度比较快,精度也还行。-Graph based Segmentation is a classical image Segmentation algorithms, the algorithm is Based on the figure of greedy clustering algorithm, speed is faster, and easy to implement
  3. 所属分类:Communication

    • 发布日期:2017-04-03
    • 文件大小:298.94kb
    • 提供者:ping
  1. tuxiangfen-ge

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  2. 基于脉冲耦合神经网络的图像分割 ,初学者使用 -Image segmentation based on pulse coupled neural network, for beginners to use
  3. 所属分类:Communication

    • 发布日期:2017-04-02
    • 文件大小:17.76kb
    • 提供者:dqme525
  1. paper3

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  2. 一种基于节点密度分割和标签传播的Web页面挖掘方法-A mining based on node density segmentation and labeling dissemination of Web pages
  3. 所属分类:Communication

    • 发布日期:2017-05-07
    • 文件大小:1.14mb
    • 提供者:xiaozhang
  1. crmiv

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  2. 从先验概率中采样,计算权重,中介真值程度度量,基于中介真值程度度量的图像分割包含优化类的几个简单示例程序。- Sampling a priori probability, calculate the weight, The true extent of the value of the intermediary measure, measure the true extent of the agency based on the value of image segmentation Opti
  3. 所属分类:Communication

    • 发布日期:2017-12-12
    • 文件大小:4.33kb
    • 提供者:夏亚锋
  1. Accurate Segmentation of Cervical Cytoplasm and Nuclei Based on Multiscale Convolutional Network and Graph Partitioning

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  2. In this paper, a multiscale convolutional network (MSCN) and graph-partitioning-based method is proposed for accurate segmentation of cervical cytoplasm and nuclei. Specifically, deep learning via the MSCN is explored to extract scale invariant f
  3. 所属分类:编程文档

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