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  1. UsingFCMforColorTextureSegmentationBasedMultirscal

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  2. 本文介绍了使用彩色纹理分割的彩色纹理分割聚类算法的多分辨率图像融合-The paper presents color texture segmentation using FCM for color texture segmentation based multi-resolution image fusion
  3. 所属分类:Document

    • 发布日期:2017-03-29
    • 文件大小:339.25kb
    • 提供者:命运
  1. Contourlettransformbasedmulti-scaletexturesegmenta

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  2. 一种基于Contourlet变换的多尺度纹理分割的新算法.pdf-Contourlet transform based multi-scale texture segmentation of the new algorithm. Pdf
  3. 所属分类:software engineering

    • 发布日期:2017-04-04
    • 文件大小:730.91kb
    • 提供者:gaoweiwei
  1. Active-contour-3-d-image

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  2. 对具高噪声和低对比度三维图像的识别和分割算法进行了研究。基于活动轮廓模型,用Gabor变换提取图像的纹理特征,根据统计学信息假设,通过偏微分方程水平集和窄带方法求解,获得较基本活动轮廓的算法分割更光滑精确的物体轮廓-To a high noise and low contrast 3 d image recognition and segmentation algorithm was studied. Based on the active contour model, with Gabor t
  3. 所属分类:Document

    • 发布日期:2017-10-30
    • 文件大小:518.01kb
    • 提供者:张钰倩
  1. extraction-base-on-color-image

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  2. 彩色图象的特征提取与计算软件设计说明书。说明书中介绍了一些彩色图象的特征提取方法,包括颜色、纹理、特征点的提取,另外还介绍了几种图像分割的方法。-This is a color image feature extraction and calculation software design specification.This paper based on color and texture, methods of extracting feature points, and some imag
  3. 所属分类:Project Design

    • 发布日期:2017-05-21
    • 文件大小:5.56mb
    • 提供者:蔡晋茹
  1. FSEG_v2

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  2. Factorization-based texture segmentation
  3. 所属分类:Project Design

    • 发布日期:2017-05-03
    • 文件大小:581.64kb
    • 提供者:behzad
  1. paper2

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  2. A universal texture segmentation and representation scheme based on ant colony optimization for iris image processing(1)
  3. 所属分类:Project Manage

    • 发布日期:2017-05-03
    • 文件大小:602.08kb
    • 提供者:xiaowang
  1. Segmentation-Based-on-Region

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  2. 基于区域划分的多特征纹理图像分割,能获得较好的效果-Multi- feature Texture Image Segmentation Based on Region Partition
  3. 所属分类:software engineering

    • 发布日期:2017-05-31
    • 文件大小:12.28mb
    • 提供者:陈荣叠
  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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