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TIP_14_SPL

于 2020-09-16 发布 文件大小:1367KB
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代码说明:

  基于多尺度超像素的显著性检测代码和文章(Saliency Detection with Multi-Scale Superpixels)

文件列表:

Saliency Detection with Multi-Scale Superpixels
...............................................\code-SPL-MS
...............................................\...........\APPgetSpStats.m,2232,2011-06-10
...............................................\...........\bayesian.m,527,2014-08-17
...............................................\...........\BoostImage.m,399,2009-11-25
...............................................\...........\BoostMatrix.m,2809,2009-11-25
...............................................\...........\boxfilter.m,931,2012-03-20
...............................................\...........\CBsegment
...............................................\...........\.........\mexSegment.mexw32,19456,2012-03-29
...............................................\...........\.........\mexSegment.mexw64,23040,2012-12-05
...............................................\...........\.........\htm" target=_blank>README,781,2014-08-15
...............................................\...........\ColorHarris.m,1420,2010-12-22
...............................................\...........\computeColorCenter.m,516,2011-06-05
...............................................\...........\computeColorWeight.m,963,2013-03-01
...............................................\...........\computeOneScaleSmap_fast.m,2293,2013-11-15
...............................................\...........\computeQuantMatrix.m,1230,2011-06-07
...............................................\...........\computeRegionHist.m,541,2012-04-27
...............................................\...........\cu_demo.m,1842,2014-08-17
...............................................\...........\cu_Saliency_map.m,6829,2014-08-17
...............................................\...........\dilation33.m,303,2005-10-19
...............................................\...........\elimatepoint.m,534,2010-12-24
...............................................\...........\fill_border.m,1143,2005-06-10
...............................................\...........\gDer.m,974,2006-08-08
...............................................\...........\getmaxpoints.m,754,2006-08-08
...............................................\...........\guidedfilter.m,957,2012-03-20
...............................................\...........\histDist.m,322,2011-06-05
...............................................\...........\im2superpixels.m,713,2011-06-07
...............................................\...........\imgs


...............................................\...........\mergeAdjacentRegions_fast.m,3212,2011-06-10
...............................................\...........\mexMergeAdjacentRegions.mexw32,12288,2012-03-29
...............................................\...........\mexMergeAdjacentRegions.mexw64,13312,2012-12-05
...............................................\...........\multi_saliency.m,521,2014-08-17
...............................................\...........\onescale_CB.m,2321,2014-08-17
...............................................\...........\out


...............................................\...........\processSuperpixelImage.m,949,2011-06-07
...............................................\...........\Readme.txt,286,2014-08-17
...............................................\...........\rgb2lab.m,1501,2010-04-28
...............................................\Saliency Detection with Multi-Scale Superpixels.pdf,1341498,2015-10-09

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    可以去除不均匀光照、噪声的预处理算法,利用双边滤波和中值滤波的优势。(You can remove the uneven illumination, noise preprocessing algorithm, taking advantage of bilateral filtering and median filtering.)
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