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drfi_matlab-master

于 2020-09-16 发布 文件大小:2200KB
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代码说明：

  drfi图像显著性检测算法源码,基本上是目前表现最好的算法，需要m和c混合编程(source code of DRFI model)

文件列表：

drfi_matlab-master
..................\boosting
..................\........\test_boosted_dt_mc.m,1600,2016-06-15
..................\........\test_boosted_kde_2c.m,480,2016-06-15
..................\........\train_boosted_dt_2c.m,3076,2016-06-15
..................\........\train_boosted_dt_mc.m,5354,2016-06-15
..................\........\train_boosted_kde_2c.m,4111,2016-06-15
..................\........\train_boosted_stubs_mc.m,5345,2016-06-15
..................\........\treevalc.cpp,3597,2016-06-15
..................\........\treevalc.mexa64,8436,2016-06-15
..................\........\treevalc.mexw64,8192,2016-06-15
..................\........\tree_getNewVersion.m,184,2016-06-15
..................\........\tree_getParameters.m,575,2016-06-15
..................\........\weightedstats
..................\........\.............\ksdensityw.asv,5563,2016-06-15
..................\........\.............\ksdensityw.m,5570,2016-06-15
..................\........\.............\private
..................\........\.............\.......\addbisa.m,6521,2016-06-15
..................\........\.............\.......\addinvg.m,8904,2016-06-15
..................\........\.............\.......\addlogi.m,12286,2016-06-15
..................\........\.............\.......\addnaka.m,4398,2016-06-15
..................\........\.............\.......\addrice.m,6577,2016-06-15
..................\........\.............\.......\addtls.m,6220,2016-06-15
..................\........\.............\.......\dfaddbuttons.m,6442,2016-06-15
..................\........\.............\.......\dfaddparamfit.m,7849,2016-06-15
..................\........\.............\.......\dfaddsmoothfit.m,3520,2016-06-15
..................\........\.............\.......\dfadjustlayout.m,2927,2016-06-15
..................\........\.............\.......\dfadjustmenu.m,4645,2016-06-15
..................\........\.............\.......\dfadjusttoolbar.m,1787,2016-06-15
..................\........\.............\.......\dfasksavesession.m,669,2016-06-15
..................\........\.............\.......\dfaxlimctrl.m,11374,2016-06-15
..................\........\.............\.......\dfbinwidthpreview.m,575,2016-06-15
..................\........\.............\.......\dfboundwarn.m,1465,2016-06-15
..................\........\.............\.......\dfcanplotdata.m,1003,2016-06-15
..................\........\.............\.......\dfcbkclear.m,524,2016-06-15
..................\........\.............\.......\dfcheckselections.m,3832,2016-06-15
..................\........\.............\.......\dfcopyexrule.m,961,2016-06-15
..................\........\.............\.......\dfcreatecopy.m,221,2016-06-15
..................\........\.............\.......\dfcreatedataset.m,2670,2016-06-15
..................\........\.............\.......\dfcreateexclusionrule.m,586,2016-06-15
..................\........\.............\.......\dfcreateplot.m,4044,2016-06-15
..................\........\.............\.......\dfcustomdist.m,6194,2016-06-15
..................\........\.............\.......\dfdeleteexrule.m,1529,2016-06-15
..................\........\.............\.......\dfdelgraphexclude.m,431,2016-06-15
..................\........\.............\.......\dfdocontext.m,7544,2016-06-15
..................\........\.............\.......\dfdupfigure.m,1667,2016-06-15
..................\........\.............\.......\dfevaluate.m,2317,2016-06-15
..................\........\.............\.......\dfevaluateplot.m,6222,2016-06-15
..................\........\.............\.......\dfexport2workspace.m,420,2016-06-15
..................\........\.............\.......\dffig2m.m,27041,2016-06-15
..................\........\.............\.......\dfgetbinwidthdefaults.m,479,2016-06-15
..................\........\.............\.......\dfgetdistributions.m,8975,2016-06-15
..................\........\.............\.......\dfgetexclusionrule.m,239,2016-06-15
..................\........\.............\.......\dfgetfitname.m,388,2016-06-15
..................\........\.............\.......\dfgetupdateinfo.m,485,2016-06-15
..................\........\.............\.......\dfgetuserdists.m,9743,2016-06-15
..................\........\.............\.......\dfgraphexclude.m,11965,2016-06-15
..................\........\.............\.......\dfhelpviewer.m,662,2016-06-15
..................\........\.............\.......\dfhistbins.m,9540,2016-06-15
..................\........\.............\.......\dficons.mat,18920,2016-06-15
..................\........\.............\.......\dfpreview.m,2497,2016-06-15
..................\........\.............\.......\dfsectionpreview.m,1053,2016-06-15
..................\........\.............\.......\dfsession.m,7927,2016-06-15
..................\........\.............\.......\dfsetbinwidthrules.m,1036,2016-06-15
..................\........\.............\.......\dfsetconflev.m,1681,2016-06-15
..................\........\.............\.......\dfsetdistributions.m,1527,2016-06-15
..................\........\.............\.......\dfsetfunction.m,3719,2016-06-15
..................\........\.............\.......\dfsetplottype.m,1491,2016-06-15
..................\........\.............\.......\dftips.m,6165,2016-06-15
..................\........\.............\.......\dftoggleaxlimctrl.m,635,2016-06-15
..................\........\.............\.......\dftogglegrid.m,833,2016-06-15
..................\........\.............\.......\dftogglelegend.m,846,2016-06-15
..................\........\.............\.......\dftoggletoolbar.m,701,2016-06-15
..................\........\.............\.......\dftoolgetudd.m,437,2016-06-15
..................\........\.............\.......\dftoolinittemplate.m,6341,2016-06-15
..................\........\.............\.......\dfupdateallplots.m,1446,2016-06-15
..................\........\.............\.......\dfupdatebinwidthpreview.m,468,2016-06-15
..................\........\.............\.......\dfupdatelegend.m,5403,2016-06-15
..................\........\.............\.......\dfupdateppdists.m,3087,2016-06-15
..................\........\.............\.......\dfupdatexlim.m,2510,2016-06-15
..................\........\.............\.......\dfupdateylim.m,2235,2016-06-15
..................\........\.............\.......\dfviewdata.m,423,2016-06-15
..................\........\.............\.......\dfviewdatapreview.m,684,2016-06-15
..................\........\.............\.......\dfviewexcludepreview.m,3104,2016-06-15
..................\........\.............\.......\dfviewpreview.m,632,2016-06-15
..................\........\.............\.......\dgammainc.m,6591,2016-06-15
..................\........\.............\.......\export2wsdlg.m,16896,2016-06-15
..................\........\.............\.......\getclassindex.m,1055,2016-06-15
..................\........\.............\.......\getdsdb.m,287,2016-06-15
..................\........\.............\.......\getfitdb.m,343,2016-06-15
..................\........\.............\.......\getoutlierdb.m,300,2016-06-15
..................\........\.............\.......\idummy.m,894,2016-06-15
..................\........\.............\.......\im2mis.m,5031,2016-06-15
..................\........\.............\.......\iseuclidean.m,1607,2016-06-15
..................\........\.............\.......\isinaxes.m,539,2016-06-15
..................\........\.............\.......\linkagemex.c,18673,2016-06-15
..................\........\.............\.......\linkagemex.mexglx,9844,2016-06-15
..................\........\.............\.......\linkagemex.mexglx.csf,262,2016-06-15
..................\........\.............\.......\lsqisotonic.m,2560,2016-06-15
..................\........\.............\.......\mgrp2idx.m,2278,2016-06-15

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    一款VC++图像开场加载效果，向大家演示了几种图像装载的特效实现的方法，比如扫描显示、滑动显示、渐入显示和马赛克显示等，大家在使用一些幻灯片软件的时候，经学会看到类似的效果，如果你有一定的VC++基础，你可以借鉴一下本效果的具体方法，再次扩展，可以制作出一款带特效的图像查看器(The opening loading effect of a VC++ image to demonstrate the effects achieved in several image loading, such as scanning, slide show, getting into the display and mosaic display, we learn to look at some slides software to similar effect, if you have certain VC++ basis, you can learn about the effects of specific methods, extended again, can create the image of a band effects Viewer)
    2012-11-08 19:51:35下载
    积分：1
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    2008-03-25 10:54:52下载
    积分：1
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    摄影测量源码，连续法的相对定向算法，提供实验数据和程序(Photogrammetric source, the relative orientation algorithm of the continuous method, the experimental data and procedures)
    2012-07-25 10:53:47下载
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    说明：  视频追踪ECO算法源代码以及ECO论文PDF(Video tracking eco algorithm and eco paper pdf)
    2021-04-09 22:38:59下载
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    主要思想是用meanshift算法跟踪目标，拖动矩形框选择目标模板，meanshift自动跟踪 本程序的主要缺陷体现在帧差法自动识别目标，这部分功能与上一个功能独立，可用可不用，用于自动识别目标，效果不是很好，主要体现在对图像视频的要求是 背景（目标以外的所有事物）不能动(The main idea is to use meanshift algorithm to track the target and drag a rectangle to select the target template, meanshift automatic tracking The main drawback of the program is reflected in the frame difference method automatically identifies the target, which is part of the function and one function independently, may or may not, be used to automatically identify the target, the effect is not very good, mainly reflected in the requirements of the video image is the background (target All things outside) can not move)
    2014-06-07 09:31:15下载
    积分：1
  • 玫瑰
    说明：   图形学编程，界面很漂亮，转载(graphics programming interface is very beautiful, reprinted)
    2005-12-05 21:59:27下载
    积分：1
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    数字图像处理程序，包含6中FIR和IIR滤波器程序和GUI界面。(Digital image processing program with 6 FIR and IIR filter programs and GUI interface.)
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    一段修改后的变色龙聚类算法，可用于无监督聚类。(A modified chameleon clustering code, using matlab.)
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    转：https://blog.csdn.net/jinshengtao/article/details/26278725 混合高斯背景建模是基于像素样本统计信息的背景表示方法，利用像素在较长时间内大量样本值的概率密度等统计信息(如模式数量、每个模式的均值和标准差)表示背景，然后使用统计差分(如3σ原则)进行目标像素判断，可以对复杂动态背景进行建模，计算量较大。 在混合高斯背景模型中，认为像素之间的颜色信息互不相关，对各像素点的处理都是相互独立的。对于视频图像中的每一个像素点，其值在序列图像中的变化可看作是不断产生像素值的随机过程，即用高斯分布来描述每个像素点的颜色呈现规律单模态(单峰)，多模态(多峰)(Gaussian mixture background modeling is a background representation method based on the statistical information of pixel samples. Statistical information such as the number of patterns, the mean and standard deviation of each pattern are used to represent the background. Statistical difference (such as 3_principle) is used to judge the target pixel. Complex dynamic background modeling has a large amount of computation. In the Gaussian mixture background model, it is considered that the color information between pixels is uncorrelated and the processing of each pixel is independent of each other. For each pixel in a video image, the change of its value in a sequential image can be seen as a random process that produces pixel values continuously, i.e. Gaussian distribution is used to describe the regularity of color rendering of each pixel in single mode (single peak) and multi-mode (multi-peak).)
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