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image-segmentation

于 2013-04-30 发布 文件大小:4826KB
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下载积分: 1 下载次数: 17
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代码说明：

  基于自动种子选择的区域生长法，克服了传统区域法的很多缺点(Region growing method based on automatic seed selection, to overcome the many shortcomings of the traditional regional law)

文件列表：

图像分割
........\BmpPros
........\.......\BmpPros.aps,30480,2013-04-25
........\.......\BmpPros.clw,3715,2013-04-25
........\.......\BmpPros.cpp,4433,2013-04-17
........\.......\BmpPros.dsp,5391,2013-04-25
........\.......\BmpPros.dsw,522,2013-04-15
........\.......\BmpPros.h,1367,2013-04-15
........\.......\BmpPros.ncb,181248,2013-04-29
........\.......\BmpPros.opt,431616,2013-04-29
........\.......\BmpPros.plg,1399,2013-04-29
........\.......\BmpPros.rc,13562,2013-04-25
........\.......\BmpProsDoc.cpp,2429,2013-04-15
........\.......\BmpProsDoc.h,1806,2013-04-17
........\.......\BmpProsView.cpp,11898,2013-04-25
........\.......\BmpProsView.h,1881,2013-04-25
........\.......\ChildFrm.cpp,1534,2013-04-15
........\.......\ChildFrm.h,1397,2013-04-15
........\.......\Debug
........\.......\.....\BmpPros.bsc,3179520,2013-04-17
........\.......\.....\BmpPros.exe,151626,2013-04-29
........\.......\.....\BmpPros.ilk,435320,2013-04-29
........\.......\.....\BmpPros.obj,33540,2013-04-25
........\.......\.....\BmpPros.pch,6936352,2013-04-17
........\.......\.....\BmpPros.pdb,590848,2013-04-29
........\.......\.....\BmpPros.res,8096,2013-04-25
........\.......\.....\BmpPros.sbr,0,2013-04-17
........\.......\.....\BmpProsDoc.obj,27787,2013-04-23
........\.......\.....\BmpProsDoc.sbr,0,2013-04-17
........\.......\.....\BmpProsView.obj,49096,2013-04-25
........\.......\.....\BmpProsView.sbr,7620,2013-04-17
........\.......\.....\ChildFrm.obj,26209,2013-04-22
........\.......\.....\ChildFrm.sbr,0,2013-04-17
........\.......\.....\Hisotgram.obj,15652,2013-04-23
........\.......\.....\ImgCenterDib.obj,31583,2013-04-23
........\.......\.....\ImgCenterDib.sbr,0,2013-04-17
........\.......\.....\ImgSegment.obj,29763,2013-04-29
........\.......\.....\MainFrm.obj,30621,2013-04-22
........\.......\.....\MainFrm.sbr,0,2013-04-17
........\.......\.....\RegionGrow1Dlg.obj,20449,2013-04-25
........\.......\.....\RegionGrowDlg.obj,20424,2013-04-22
........\.......\.....\StdAfx.obj,106003,2013-04-17
........\.......\.....\StdAfx.sbr,1375079,2013-04-17
........\.......\.....\vc60.idb,361472,2013-04-29
........\.......\.....\vc60.pdb,380928,2013-04-29
........\.......\Hisotgram.cpp,2396,2013-04-18
........\.......\Hisotgram.h,610,2013-04-22
........\.......\ImgCenterDib.cpp,13948,2013-04-23
........\.......\ImgCenterDib.h,1388,2013-04-23
........\.......\ImgSegment.cpp,20311,2013-04-29
........\.......\ImgSegment.h,1139,2013-04-25
........\.......\MainFrm.cpp,2661,2013-04-15
........\.......\MainFrm.h,1584,2013-04-15
........\.......\ReadMe.txt,4335,2013-04-15
........\.......\RegionGrow1Dlg.cpp,1116,2013-04-25
........\.......\RegionGrow1Dlg.h,1293,2013-04-25
........\.......\RegionGrowDlg.cpp,1120,2013-04-19
........\.......\RegionGrowDlg.h,1283,2013-04-19
........\.......\res

........\.......\...\BmpPros.rc2,399,2013-04-15


........\.......\Resource.h,1242,2013-04-25
........\.......\StdAfx.cpp,209,2013-04-15
........\.......\StdAfx.h,1054,2013-04-15

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    积分：1
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    kmeans算法实现，对图像处理。亲自使用过，可用，供参考。(Kmeans algorithm for image processing.)
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    本程序的作用，完成了一种图像的DDE算法，数字图像细节增强。(The role of this procedure, the completion of an image of the DDE algorithm, digital image detail enhancement.)
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    积分：1
  • SR_1
    基于分块的人脸图像超分辨率学习算法实验平台，利用学习到的训练集图像信息对低分辨率图像超分辨率，并可以查看超分辨率后的图像块匹配结果（用鼠标双击结果显示窗口中的实验图像），可以设置实验参数。(Block-based face image super-resolution algorithm for the experimental platform to learn, learning to use the training set of low-resolution image information super-resolution images and can view the image super-resolution block-matching results (double-click with the mouse results display window of the experimental images), the experimental parameters can be set.)
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    积分：1
  • two
    ：植物种类识别方法主要是根据叶片低维特征进行自动化鉴定。然而，低维特征不能全面描述叶片信息，识别准确率低，本文提 出一种基于多特征降维的植物叶片识别方法。首先通过数字图像处理技术对植物叶片彩色样本图像进行预处理，获得去除颜色、虫洞、 叶柄和背景的叶片二值图像、灰度图像和纹理图像。然后对二值图像提取几何特征和结构特征，对灰度图像提取 Hu不变矩特征、灰 度共生矩阵特征、局部二值模式特征和 Gabor 特征，对纹理图像提取分形维数，共得到 2183 维特征参数。再采用主成分分析与线性 评判分析相结合的方法对叶片多特征进行特征降维，将叶片高维特征数据降到低维空间。使用降维后的训练样本特征数据对支持向量 机分类器进行训练(plant species identification method is mainly based on blade automatic identification of low dimensional characteristics.However, can not fully describe blade low-dimensional feature information, identification accuracy is low, in this paper A kind of plant leaves recognition method based on multiple feature dimension reduction.First by digital image processing technology to the plant leaf color sample image preprocessing, obtain background color removal, wormhole, petioles, and the blades of a binary image, gray image and texture image.Then the binary image to extract the geometric characteristics and characteristics of structure and characteristics of gray image extraction Hu moment invariants, gray co-occurrence matrix feature, local binary pattern features and Gabor, to extract the fractal dimension of texture image, get 2183 d characteristic parameters.By principal component analysis and linear uation analysis method of combining the characteristics of blade more feature dimensi)
    2017-02-28 09:57:50下载
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  • yixue
    医学图像处理方面的一些基础算法，VC环境下编译的一个非常好的程序框架(Medical image processing, some of the basic algorithm, VC compiled under the framework of a very good program)
    2010-07-08 15:56:34下载
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    2006-11-03 16:41:45下载
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    2009-06-02 21:23:23下载
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    2010-01-26 09:52:42下载
    积分：1
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