VideSaliencyDetectionAll
所属分类：图形图像处理
开发工具：Visual C++
文件大小：7730KB
下载次数：13
上传日期：2017-05-21 09:21:22
上 传 者：
岚熙
说明： 视频显著性检测方法包括各种SUN,VA等著名算法，便于效果比较和工程算法选择，全部C++实现，便于移植和嵌入式实现。
(Video highlighting methods include a variety of SUN, VA and other famous algorithms to facilitate the comparison of results and engineering algorithm selection, all C++ implementation, easy to port and embedded implementation.)
文件列表:
VideSaliencyDetectionAll\SaliencyProject\SaliencyProject.sln (912, 2014-05-13)
VideSaliencyDetectionAll\SaliencyProject\SaliencyProject.suo (17920, 2014-05-15)
VideSaliencyDetectionAll\SaliencyProject\SaliencyProject\Saliency.cpp (5461, 2014-05-13)
VideSaliencyDetectionAll\SaliencyProject\SaliencyProject\Saliency.h (2103, 2014-05-13)
VideSaliencyDetectionAll\SaliencyProject\SaliencyProject\SaliencyProject.cpp (2167, 2014-05-15)
VideSaliencyDetectionAll\SaliencyProject\SaliencyProject\SaliencyProject.vcxproj (4471, 2014-05-15)
VideSaliencyDetectionAll\SaliencyProject\SaliencyProject\SaliencyProject.vcxproj.filters (1501, 2014-05-13)
VideSaliencyDetectionAll\SaliencyProject\SaliencyProject\SaliencyProject.vcxproj.user (143, 2014-05-13)
VideSaliencyDetectionAll\SaliencyProject\SaliencyProject\stdafx.cpp (220, 2014-05-13)
VideSaliencyDetectionAll\SaliencyProject\SaliencyProject\stdafx.h (233, 2014-05-13)
VideSaliencyDetectionAll\SaliencyProject\SaliencyProject\targetver.h (236, 2014-05-13)
VideSaliencyDetectionAll\SaliencyProject\SaliencyProject\Imgs\04_14.jpg (14674, 2013-07-30)
VideSaliencyDetectionAll\SaliencyProject\SaliencyProject\Imgs\s1.jpg (14766, 2014-05-13)
VideSaliencyDetectionAll\SaliencyProject\SaliencyProject\Imgs\s2.jpg (17005, 2014-05-13)
VideSaliencyDetectionAll\SaliencyProject\SaliencyProject\Imgs\s3.jpg (26866, 2014-05-13)
VideSaliencyDetectionAll\SaliencyProject\SaliencyProject\ThreadImgs\04_14.jpg (18121, 2014-05-15)
VideSaliencyDetectionAll\SaliencyProject\SaliencyProject\ThreadImgs\s1.jpg (27870, 2014-05-15)
VideSaliencyDetectionAll\SaliencyProject\SaliencyProject\ThreadImgs\s2.jpg (13545, 2014-05-15)
VideSaliencyDetectionAll\SaliencyProject\SaliencyProject\ThreadImgs\s3.jpg (16270, 2014-05-15)
VideSaliencyDetectionAll\SUNsaliency\SUN_ A Bayesian Framework for Saliency Using Natural Statistics.pdf (2608755, 2014-03-27)
VideSaliencyDetectionAll\SUNsaliency\SUN\b (16781, 2014-03-27)
VideSaliencyDetectionAll\SUNsaliency\SUN\bbb (8843, 2017-04-28)
VideSaliencyDetectionAll\SUNsaliency\SUN\lena.png (525424, 2011-05-30)
VideSaliencyDetectionAll\SUNsaliency\SUN\saliencyimage_convolution.m (911, 2011-05-30)
VideSaliencyDetectionAll\SUNsaliency\SUN\stats.mat (1018815, 2011-05-30)
VideSaliencyDetectionAll\SUNsaliency\SUN\SUN.m (1066, 2011-11-08)
VideSaliencyDetectionAll\SUNsaliency\SUN\test.jpg (111157, 2012-02-27)
VideSaliencyDetectionAll\SUNsaliency\SUN\运行方法.txt (68, 2014-03-27)
VideSaliencyDetectionAll\VA-video\2Dorientation.cpp (6003, 2010-04-29)
VideSaliencyDetectionAll\VA-video\2dorientation.jpg (643, 2013-03-04)
VideSaliencyDetectionAll\VA-video\3D.CPP (19592, 2012-12-26)
VideSaliencyDetectionAll\VA-video\3Dorientation1.opt (48640, 2010-03-18)
VideSaliencyDetectionAll\VA-video\ColorMap.asp (0, 2009-03-19)
VideSaliencyDetectionAll\VA-video\ColorMap.cpp (6289, 2010-04-23)
VideSaliencyDetectionAll\VA-video\color_map.jpg (643, 2012-12-26)
VideSaliencyDetectionAll\VA-video\IntensityMap.cpp (3545, 2010-04-23)
VideSaliencyDetectionAll\VA-video\intensity_map.jpg (643, 2013-03-04)
VideSaliencyDetectionAll\VA-video\pyrseg.cpp (8929, 2010-04-26)
... ...
This is the matlab function that generates saliency maps used in paper Lingyun Zhang, Matthew H. Tong, Tim K. Marks, Honghao Shan & Garrison W. Cottrell (2008). SUN: A Bayesian framework for saliency using natural statistics. Journal of Vision, 8(7):32, 1-20, http://journalofvision.org/8/7/32/, doi:10.1167/8.7.32
The two *.m are essentially the same except for that saliencyimage_convolution.m is implemented with convolution. The results from the two should be the same except for small numerical differences. The convolution version is slower, but can take larger images without running out of memory.
The functions only take RGB formatted color images, to run saliency maps on gray images or other format color images, first convert to RGB format.
The functions take two parameters, first is the image to calculate saliency on, second is a scale parameter.
Example of using the functions:
>> img=imread('lena.png');
>> simg1=saliencyimage(img,0.5);
>> simg2=saliencyimage_convolution(img,0.5);
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