soft-matting

所属分类:matlab编程
开发工具:matlab
文件大小:3255KB
下载次数:200
上传日期:2012-12-29 20:42:18
上 传 者huzi500500
说明:  《A Closed-Form Solution to Natural Image Matting》一文的代码,可用于图像抠图,抠图效果比photoshop好
(《A Closed-Form Solution to Natural Image Matting》image soft matting)

文件列表:
soft matting\matting\dandelion_clipped.bmp (133866, 2006-04-20)
soft matting\matting\dandelion_clipped_m.bmp (133868, 2006-04-20)
soft matting\matting\dandelion_clipped_res_alpha.bmp (45682, 2006-04-21)
soft matting\matting\downSmpIm.m (300, 2006-04-20)
soft matting\matting\fire.bmp (720054, 2006-04-20)
soft matting\matting\fire_m.bmp (720056, 2006-04-20)
soft matting\matting\fire_res_alpha.bmp (241078, 2006-04-21)
soft matting\matting\getGMatByMask.m (2146, 2006-04-20)
soft matting\matting\getLaplacian1.m (1710, 2006-04-20)
soft matting\matting\getLinearCoeff.m (1192, 2006-04-20)
soft matting\matting\imIndexToVect.m (137, 2006-04-20)
soft matting\matting\kid1.bmp (338266, 2006-04-20)
soft matting\matting\kid1_m.bmp (338240, 2006-04-20)
soft matting\matting\kid1_res_alpha.bmp (114254, 2006-04-21)
soft matting\matting\kid2.bmp (272538, 2006-04-20)
soft matting\matting\kid2_m.bmp (272540, 2006-04-20)
soft matting\matting\kid2_res_alpha.bmp (91906, 2006-04-21)
soft matting\matting\KNhair.bmp (278442, 2006-04-20)
soft matting\matting\KNhair_m.bmp (278444, 2006-04-20)
soft matting\matting\peacock.bmp (720054, 2006-04-20)
soft matting\matting\peacock_m.bmp (720056, 2006-04-20)
soft matting\matting\peacock_res_alpha.bmp (241078, 2006-04-21)
soft matting\matting\rabbit.bmp (465974, 2006-04-21)
soft matting\matting\rabbit_m.bmp (465974, 2006-04-21)
soft matting\matting\rabbit_res_alpha.bmp (157598, 2006-04-21)
soft matting\matting\runMatting.m (751, 2006-04-20)
soft matting\matting\runMatting_Dandelion.m (93, 2006-04-20)
soft matting\matting\runMatting_Fire.m (98, 2006-04-20)
soft matting\matting\runMatting_Hair.m (67, 2006-04-20)
soft matting\matting\runMatting_Kid1.m (111, 2006-04-20)
soft matting\matting\runMatting_Kid2.m (63, 2006-04-20)
soft matting\matting\runMatting_Peacock.m (120, 2006-04-20)
soft matting\matting\runMatting_Rabbit.m (127, 2006-04-20)
soft matting\matting\runMatting_Teddy.m (114, 2006-04-20)
soft matting\matting\runMatting_TeddyEar.m (123, 2006-04-20)
soft matting\matting\solveAlpha.m (308, 2006-04-20)
soft matting\matting\solveAlphaC2F.m (1089, 2006-04-20)
soft matting\matting\solveFB.m (1112, 2006-04-20)
soft matting\matting\teddy.bmp (607414, 2006-04-20)
... ...

This package contains an implementation of the matting algorithm described in the CVPR2006 paper: "A Closed Form Solution to Natural Image Matting" by A.Levin D.Lischinski and Y.Weiss Usage of this code is free for research purposes only. Please refer to the above publication if you use this code. Copyrights: The Hebrew University of Jerusalem, 2006. All rights reserved. Written by Anat Levin. Please address comments/suggestions/bugs to alevin@cs.huji.ac.il ------------------------------------------------------------------------------- To run the matting algorithm, use the runMatting script. The scripts runMatting_*.m are example scripts, calling runMatting on the images used in the paper. simple examples to start with, could be: runMatting_Kid2.m, runMatting_Hair.m, runMatting_Dandelion.m The runMatting script uses the arguments described below. Input arguments: img_name - input image file scribs_img_name - input image with black&white scribbles Note that since the code uses a simple diff to find the scribbled pixels, you should not place scribbles with fuzzy boundaries. Photoshop users- use pencil tool, hard brushes. Output arguments: alpha, F,B - representing the alpha matte and the estimation of foreground and background colors. Additional (optional) input arguments: (if you don't define them a default value will be used) epsilon - regularization term (see eq 3 in the paper) The default value is epsilon=0.1^7. For jpeg or noisy images use epsilon=0.1^5. win_size - size of the windows in which the linear model is used (default is 3x3 windows) For running matting using multi resolutions: levels_num - number of levels to use active_levels_num - use active_levels_num<=levels_num. If active_levels_num
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