Description: Image segmentation
We propose a segmentation framework that takes as its input a xation (a point
location) in the scene and outputs the region containing that xation. The xated
region is segmented in terms of the area enclosed by the \optimal" closed boundary
around the xation using the probabilistic boundary edge map of the scene (or image).
The probabilistic boundary edge map, which is generated by using all available visual
cues, contains the probability of an edge pixel being at an object (or depth) boundary
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File list (Check if you may need any files):
ms_segmenter\Biomed_demo.m
............\Color_segment_svd1.m
............\Color_segment_svd2.m
............\Color_segment_svd3.m
............\Cut_boundary_reg.m
............\Display_Boundary.m
............\Display_Place_at.m
............\Draw_rect.m
............\Extract_region_reg.m
............\Fit_spline.m
............\Full_graph.m
............\Gravitat.m
............\Gray_segment.m
............\Merge_regions.m
............\My_inputdlg.m
............\M_shift1.m
............\M_shift2.m
............\M_shift3.m
............\M_shift3_sps.m
............\Neighbor.m
............\Operation_prompt.m
............\Operation_prompt_right.m
............\Place_at.m
............\Place_images.m
............\Region_matrix.m
............\Rgb_to_luv.m
............\Right_button.m
............\Segment_demo.asv
............\Segment_demo.m
............\Smooth_wv.m
............\Svd_dist_reg.m
............\Thumbs.db
............\Vertex_at.m
ms_segmenter
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