RBD
所属分类：图形图像处理
开发工具：matlab
文件大小：3895KB
下载次数：53
上传日期：2016-07-22 09:41:11
上 传 者：
xiaocong
说明： 该源码可实现基于强健背景信息的显著性检测，通过设定阈值可以提取出图像的显著性区域
(The source can be realized based on robust detection of significant background information, by setting the threshold value can be extracted significant area of the image)
文件列表:
RBD\compile.m (52, 2016-01-07)
RBD\Data\GT\1.bmp (360054, 2016-05-03)
RBD\Data\GT\2.bmp (360054, 2016-05-03)
RBD\Data\GT\painting.bmp (779454, 2014-03-23)
RBD\Data\Res\1_wCtr_Optimized.png (1839, 2016-06-25)
RBD\Data\Res\2_wCtr_Optimized.png (1806, 2016-06-25)
RBD\Data\Res\3_wCtr_Optimized.png (1240, 2016-06-25)
RBD\Data\Res\4_wCtr_Optimized.png (6252, 2016-06-25)
RBD\Data\Res\5_wCtr_Optimized.png (3902, 2016-06-25)
RBD\Data\Res\6_wCtr_Optimized.png (2005, 2016-06-25)
RBD\Data\Res\7_wCtr_Optimized.png (3965, 2016-06-25)
RBD\Data\Res\8_wCtr_Optimized.png (5754, 2016-06-25)
RBD\Data\Res\9_wCtr_Optimized.png (4484, 2016-06-25)
RBD\Data\Res\bird_wCtr_Optimized.png (2005, 2016-06-25)
RBD\Data\Res\painting_wCtr_Optimized.png (4484, 2016-06-25)
RBD\Data\SRC\1.jpg (18951, 2011-02-17)
RBD\Data\SRC\2.jpg (11367, 2011-02-22)
RBD\Data\SRC\3.jpg (14794, 2016-06-25)
RBD\Data\SRC\4.jpg (129656, 2016-06-25)
RBD\Data\SRC\5.jpg (95350, 2016-06-25)
RBD\Data\SRC\6.jpg (11838, 2016-03-22)
RBD\Data\SRC\7.jpg (123369, 2016-06-25)
RBD\Data\SRC\8.jpg (144166, 2016-06-25)
RBD\Data\SRC\9.jpg (42048, 2014-03-23)
RBD\Data\SRC\bird.jpg (11838, 2016-03-22)
RBD\Data\SRC\old\0001.jpg (69044, 2016-01-07)
RBD\Data\SRC\old\009967.jpg (138309, 2016-03-22)
RBD\Data\SRC\old\009969.jpg (252102, 2016-04-05)
RBD\Data\SRC\old\009971.jpg (106304, 2016-04-05)
RBD\Data\SRC\old\009973.jpg (68285, 2016-04-05)
RBD\Data\SRC\old\009975.jpg (196388, 2016-03-22)
RBD\Data\SRC\old\009976.jpg (17001, 2016-03-22)
RBD\Data\SRC\old\009977.jpg (221870, 2016-04-05)
RBD\Data\SRC\old\009978.jpg (166604, 2016-04-05)
RBD\Data\SRC\old\009979.jpg (242595, 2016-04-05)
RBD\Data\SRC\old\009980.jpg (122781, 2016-04-05)
RBD\Data\SRC\old\009981.jpg (75817, 2016-05-09)
RBD\Data\SRC\old\009982.jpg (199828, 2016-03-22)
RBD\Data\SRC\old\009983.jpg (30352, 2016-03-22)
RBD\Data\SRC\old\009984.jpg (87895, 2016-05-09)
... ...
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% This code is for [1], and can only be used for non-comercial purpose. If
% you use our code, please cite [1].
%
% Code Author: Wangjiang Zhu
% Email: wangjiang88119@gmail.com
% Date: 3/24/2014
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Run demo.m to learn how to use Saliency Optimization[1], as well as
% Saliency Filter[2], Geodesic Saliency[3], and Manifold Ranking[4].
% [1] Wangjiang Zhu, Shuang Liang, Yichen Wei, and Jian Sun. Saliency
% Optimization from Robust Background Detection. In CVPR, 2014.
% [2] F. Perazzi, P. Krahenbuhl, Y. Pritch, and A. Hornung. Saliency
% filters: Contrast based filtering for salient region detection.
% In CVPR, 2012.
% [3] Y.Wei, F.Wen,W. Zhu, and J. Sun. Geodesic saliency using
% background priors. In ECCV, 2012.
% [4] C. Yang, L. Zhang, H. Lu, X. Ruan, and M.-H. Yang. Saliency
% detection via graph-based manifold ranking. In CVPR, 2013.
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