Image pre-segmented into one super-pixel, reducing the amount of computation using spectral clustering or any other way to do image segmentation

TurboPixels\clip.m
...........\convolve.c
...........\convolve.h
...........\corrDn.c
...........\demo_superpixels.m
...........\display_contour.m
...........\display_logical.m
...........\DT.c
...........\edges.c
...........\evolve_height_function.m
...........\evolve_height_function_N.m
...........\get_binary_img_from_seeds.m
...........\get_full_speed.c
...........\get_initial_seeds.m
...........\get_speed_based_on_boundaries.m
...........\get_speed_based_on_gradient.m
...........\get_superpixel_boundaries.m
...........\hasToRecomputeBand.m
...........\height_function_change_rate.m
...........\height_function_der.c
...........\height_function_der.mexw32
...........\height_function_grad.c
...........\lizard.jpg
...........\local_min.c
...........\.smlib\computeDistanceFunction2d.c
...........\......\computeDistanceFunction2d.m
...........\......\computeExtensionFields2d.c
...........\......\computeExtensionFields2d.m
...........\......\doHomotopicThinning.c
...........\......\FMM_Callback_API.h
...........\......\FMM_Core.c
...........\......\FMM_Core.h
...........\......\FMM_Heap.c
...........\......\FMM_Heap.h
...........\......\lsm_fast_marching_method.h
...........\......\lsm_FMM_field_extension2d.c
...........\make.m
...........\README.txt
...........\superpixels.m
...........\upConv.c
...........\wrap.c
...........\zero_crossing.c
...........\lsmlib
TurboPixels

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