tbes_1.0

所属分类:matlab编程
开发工具:matlab
文件大小:2878KB
下载次数:13
上传日期:2011-10-18 18:26:24
上 传 者DKO
说明:  matlab code for image segmentation

文件列表:
tbes_1.0 (0, 2009-07-30)
tbes_1.0\.DS_Store (21508, 2009-07-30)
__MACOSX (0, 2009-07-30)
__MACOSX\tbes_1.0 (0, 2009-07-30)
__MACOSX\tbes_1.0\._.DS_Store (82, 2009-07-30)
tbes_1.0\.svn (0, 2009-03-20)
tbes_1.0\.svn\entries (5388, 2009-03-20)
tbes_1.0\.svn\format (2, 2008-12-19)
tbes_1.0\.svn\prop-base (0, 2009-02-04)
tbes_1.0\.svn\prop-base\198023.jpg.svn-base (79, 2009-01-05)
tbes_1.0\.svn\prop-base\coding_length.m.svn-base (30, 2008-12-19)
tbes_1.0\.svn\prop-base\generate_synthetic_image_segments.m.svn-base (30, 2008-12-19)
tbes_1.0\.svn\prop-base\torr_gauss_mask.m.svn-base (30, 2008-12-19)
tbes_1.0\.svn\prop-base\vicinity_map.m.svn-base (30, 2008-12-19)
tbes_1.0\.svn\props (0, 2008-12-19)
tbes_1.0\.svn\text-base (0, 2009-03-07)
tbes_1.0\.svn\text-base\198023.jpg.svn-base (86943, 2009-01-05)
tbes_1.0\.svn\text-base\adaptive_chain_code.m.svn-base (4245, 2009-02-20)
tbes_1.0\.svn\text-base\batch_process_benchmark_mcc.m.svn-base (4214, 2009-03-04)
tbes_1.0\.svn\text-base\coding_length.m.svn-base (2612, 2008-12-19)
tbes_1.0\.svn\text-base\coding_length_chain.m.svn-base (1586, 2009-02-05)
tbes_1.0\.svn\text-base\coding_length_huffman.m.svn-base (986, 2009-02-04)
tbes_1.0\.svn\text-base\coding_length_image.m.svn-base (5153, 2009-03-02)
tbes_1.0\.svn\text-base\coding_length_mean_cov.m.svn-base (2053, 2009-02-19)
tbes_1.0\.svn\text-base\coding_length_waterfill.m.svn-base (2196, 2009-02-04)
tbes_1.0\.svn\text-base\combine_joint_region_parameters.m.svn-base (6405, 2009-02-27)
tbes_1.0\.svn\text-base\combine_mean_cov.m.svn-base (1824, 2009-02-06)
tbes_1.0\.svn\text-base\construct_edge_image.m.svn-base (1420, 2009-02-26)
tbes_1.0\.svn\text-base\construct_mean_cov.m.svn-base (1245, 2009-02-01)
tbes_1.0\.svn\text-base\construct_pixel_features.m.svn-base (9529, 2009-03-02)
tbes_1.0\.svn\text-base\construct_region_parameters.m.svn-base (7184, 2009-02-19)
tbes_1.0\.svn\text-base\doubleregion.m.svn-base (1857, 2008-12-19)
tbes_1.0\.svn\text-base\find_interior_pixels.m.svn-base (1684, 2009-02-05)
tbes_1.0\.svn\text-base\generate_synthetic_image_segments.m.svn-base (1942, 2008-12-19)
tbes_1.0\.svn\text-base\generate_synthetic_image_segments_rand.m.svn-base (1364, 2008-12-19)
tbes_1.0\.svn\text-base\image_region.m.svn-base (389, 2009-02-04)
tbes_1.0\.svn\text-base\INSTALL.txt.svn-base (289, 2008-12-19)
tbes_1.0\.svn\text-base\merge_edgeless_regions.m.svn-base (5753, 2009-03-02)
tbes_1.0\.svn\text-base\obtain_boundary_gradient.m.svn-base (2593, 2009-02-26)
tbes_1.0\.svn\text-base\obtain_superpixels.m.svn-base (5879, 2009-02-17)
... ...

*** Installation *** This texture segmentation algorithm uses Greg Mori's superpixel code, which includes some c files that need to be compiled. To do this open MATLAB and then run the following commands: > cd superpixels/yu_imncut > mex csparse.c > mex ic.c > mex imnb.c > mex parmatV.c > mex spmd_imncut.c *** Testing *** To test our texture segmentation algorithm, run the following command in MATLAB: > test_texture_seg This will run TBES on an example image from the Berkeley Segmentation Dataset, compute the probabilistic Rand index and variation of information segmentation metrics (in comparison with human results), and display the segmentation results. For information on computing the precision and recall curve, please go to http://www.eecs.berkeley.edu/Research/Projects/CS/vision/grouping/segbench/

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