SUN-saliency

所属分类:图形图像处理
开发工具:matlab
文件大小:4138KB
下载次数:196
上传日期:2014-03-27 21:54:40
上 传 者ivy_qq
说明:  SUN:利用自然统计的显著性贝叶斯检测框架。一种自底向上的检测图像的显著性区域方法。
(SUN: A Bayesian Framework for Saliency Using Natural Statistics)

文件列表:
SUN saliency 检测方法\SUN\b (16781, 2014-03-27)
SUN saliency 检测方法\SUN\bbb (8843, 2014-03-27)
SUN saliency 检测方法\SUN\lena.png (525424, 2011-05-30)
SUN saliency 检测方法\SUN\saliencyimage_convolution.m (911, 2011-05-30)
SUN saliency 检测方法\SUN\stats.mat (1018815, 2011-05-30)
SUN saliency 检测方法\SUN\SUN.m (1066, 2011-11-08)
SUN saliency 检测方法\SUN\test.jpg (111157, 2012-02-27)
SUN saliency 检测方法\SUN\运行方法.txt (68, 2014-03-27)
SUN saliency 检测方法\SUN_ A Bayesian Framework for Saliency Using Natural Statistics.pdf (2608755, 2014-03-27)
SUN saliency 检测方法\SUN (0, 2014-03-27)
SUN saliency 检测方法 (0, 2014-03-27)

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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