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FLICM

于 2021-04-08 发布
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代码说明：

说明：  图像半监督聚类算法flicm算法的matlab，内有图像数据集，可直接使用(Image semi supervised clustering algorithm flicm algorithm matlab, there are image data sets, can be used directly)

文件列表：

FLICM, 0 , 2020-05-21
FLICM\FLICM.m, 2049 , 2010-11-04
FLICM\FLICM_find_neighbor.m, 874 , 2010-11-04
FLICM\FLICM_step.m, 1126 , 2010-11-04
FLICM\renumber.m, 944 , 2020-04-14
FLICM\test.m, 2714 , 2020-06-05
FLICM\图像, 0 , 2020-04-25
FLICM\图像\1.fig, 1130533 , 2020-04-25
FLICM\图像\100007.jpg, 51501 , 2018-08-14
FLICM\图像\100039.jpg, 93775 , 2018-08-14
FLICM\图像\100099.jpg, 48381 , 2018-08-14
FLICM\图像\101027.jpg, 86536 , 2018-08-14
FLICM\图像\101084.jpg, 103502 , 2018-08-14
FLICM\图像\102062.jpg, 109331 , 2018-08-14
FLICM\图像\103006.jpg, 90593 , 2018-08-14
FLICM\图像\103029.jpg, 49754 , 2018-08-14
FLICM\图像\103078.jpg, 75560 , 2018-08-14
FLICM\图像\104010.jpg, 81014 , 2018-08-14
FLICM\图像\104055.jpg, 58711 , 2018-08-14
FLICM\图像\105027.jpg, 70699 , 2018-08-14
FLICM\图像\106005.jpg, 45186 , 2018-08-14
FLICM\图像\106024.jpg, 47544 , 2003-11-01
FLICM\图像\106025.jpg, 37465 , 2018-08-14
FLICM\图像\106047.jpg, 52637 , 2018-08-14
FLICM\图像\107014.jpg, 73085 , 2018-08-14
FLICM\图像\107045.jpg, 85230 , 2018-08-14
FLICM\图像\107072.jpg, 91573 , 2018-08-14
FLICM\图像\108004.jpg, 106842 , 2018-08-14
FLICM\图像\108036.jpg, 89075 , 2018-08-14
FLICM\图像\108069.jpg, 86784 , 2018-08-14
FLICM\图像\108073.jpg, 76435 , 2018-08-14
FLICM\图像\109055.jpg, 77978 , 2018-08-14
FLICM\图像\112056.jpg, 47194 , 2018-08-14
FLICM\图像\112090.jpg, 82353 , 2018-08-14
FLICM\图像\113016.jpg, 93869 , 2018-08-14
FLICM\图像\117025.jpg, 83832 , 2018-08-14
FLICM\图像\118015.jpg, 76111 , 2018-08-14
FLICM\图像\118031.jpg, 82578 , 2018-08-14
FLICM\图像\118035.jpg, 48797 , 2013-01-23
FLICM\图像\118072.jpg, 81457 , 2018-08-14
FLICM\图像\120003.jpg, 49002 , 2018-08-14
FLICM\图像\120093.jpg, 75283 , 2018-08-14
FLICM\图像\123057.jpg, 61872 , 2018-08-14
FLICM\图像\124084.jpg, 63856 , 2018-08-14
FLICM\图像\128035.jpg, 64191 , 2018-08-14
FLICM\图像\130014.jpg, 66783 , 2018-08-14
FLICM\图像\130034.jpg, 111146 , 2018-08-14
FLICM\图像\130066.jpg, 62883 , 2018-08-14
FLICM\图像\134049.jpg, 98858 , 2018-08-14
FLICM\图像\134067.jpg, 117511 , 2018-08-14
FLICM\图像\135069.jpg, 23655 , 2013-01-23
FLICM\图像\138032.jpg, 96219 , 2018-08-14
FLICM\图像\140006.jpg, 70152 , 2018-08-14
FLICM\图像\140088.jpg, 55069 , 2018-08-14
FLICM\图像\141012.jpg, 104028 , 2018-08-14
FLICM\图像\141048.jpg, 92781 , 2018-08-14
FLICM\图像\145059.jpg, 83755 , 2018-08-14
FLICM\图像\145079.jpg, 95463 , 2018-08-14
FLICM\图像\146074.jpg, 66314 , 2018-08-14
FLICM\图像\147077.jpg, 83192 , 2018-08-14
FLICM\图像\147080.jpg, 85841 , 2018-08-14
FLICM\图像\147091.jpg, 74269 , 2018-08-14
FLICM\图像\15011.jpg, 73994 , 2018-08-14
FLICM\图像\15062.jpg, 84220 , 2018-08-14
FLICM\图像\15088.jpg, 57578 , 2013-01-23
FLICM\图像\156054.jpg, 73152 , 2018-08-14
FLICM\图像\157032.jpg, 50018 , 2018-08-14
FLICM\图像\157087.jpg, 84918 , 2018-08-14
FLICM\图像\159002.jpg, 63824 , 2018-08-14
FLICM\图像\159022.jpg, 48613 , 2018-08-14
FLICM\图像\160006.jpg, 64017 , 2018-08-14
FLICM\图像\16004.jpg, 78423 , 2018-08-14
FLICM\图像\160067.jpg, 61985 , 2018-08-14
FLICM\图像\16068.jpg, 79209 , 2018-08-14
FLICM\图像\161045.jpg, 55320 , 2018-08-14
FLICM\图像\161062.jpg, 50760 , 2018-08-14
FLICM\图像\163004.jpg, 72012 , 2018-08-14
FLICM\图像\163096.jpg, 81206 , 2018-08-14
FLICM\图像\164046.jpg, 67608 , 2018-08-14
FLICM\图像\167062.jpg, 43691 , 2013-01-23
FLICM\图像\168084.jpg, 54516 , 2018-08-14
FLICM\图像\17067.jpg, 83608 , 2018-08-14
FLICM\图像\175043.jpg, 98009 , 2018-08-14
FLICM\图像\175083.jpg, 94106 , 2018-08-14
FLICM\图像\176051.jpg, 56894 , 2018-08-14
FLICM\图像\179084.jpg, 51776 , 2018-08-14
FLICM\图像\181021.jpg, 66694 , 2018-08-14
FLICM\图像\181079.jpg, 69359 , 2018-08-14
FLICM\图像\183066.jpg, 73460 , 2018-08-14
FLICM\图像\185092.jpg, 48068 , 2018-08-14
FLICM\图像\187058.jpg, 112005 , 2018-08-14
FLICM\图像\187099.jpg, 111759 , 2018-08-14
FLICM\图像\188025.jpg, 74412 , 2018-08-14
FLICM\图像\188091.jpg, 39880 , 2018-08-14
FLICM\图像\189006.jpg, 52278 , 2018-08-14
FLICM\图像\189013.jpg, 55968 , 2018-08-14
FLICM\图像\189029.jpg, 58902 , 2018-08-14
FLICM\图像\189096.jpg, 78363 , 2018-08-14
FLICM\图像\196027.jpg, 40181 , 2018-08-14
FLICM\图像\196040.jpg, 91007 , 2018-08-14

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    本代码是使用matlab编写的harr特征的代码，值得大家研究和参考(This code is the use of matlab prepared harr characteristics of the code, it is worth study and reference)
    2013-06-07 16:40:11下载
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    2010-07-18 17:49:49下载
    积分：1
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    对模糊图像进行复原（代码中样例）后，进行ISNR值的计算。由于复原后图像和原图像可能存在对齐问题，而该对齐问题不影响复原结果的主观效果，因此该代码首次考虑这一问题并给出相应的图像对齐及ISNR计算方法。(Restoration of blurred images (sample code), the calculation ISNR values. Due to possible alignment problems and the restored image after the original image, and the alignment problem does not affect the results of the subjective effects of recovery, so the code for the first time to consider this issue and the corresponding image alignment and ISNR calculation.)
    2014-12-08 15:20:02下载
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    2018-04-01 20:51:42下载
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    Algorithm is used to seperate the blind signal using matlab based on image processing
    2013-08-10 05:23:56下载
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    2008-10-30 16:34:50下载
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    该代码用于在视觉智能监控/视频监控/视觉监控/视频智能监控中，消除阴影。阴影消除对视频监控具有重要的意义，能够有效地降低阴影对目标检测的影响，减小误检率和漏检率，提高对目标的识别效率以及监控系统的稳定性和可靠性。(This code is used to remove shadow in visual intelligent surveillance/video surveillance/visual surveillance/video intelligent surveillance. Shadow removal plays a important role in video surveillance. It reduce the affection of shadow in object detection, decrease false detection rate and missing rate, and improve the stability and reliability of surveillance system.)
    2011-07-02 07:28:36下载
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    今年刚更新的最新的工具箱SaliencyToolbox2.3.zip，做图像处理视觉注意力机制相关研究必备的工具。(This year has just updated the latest toolbox SaliencyToolbox2.3.zip, do image processing of visual attention mechanisms related research is an essential tool.)
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