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Draft

here

Source C

here

Linux binaries (old)

here

./srm -help

./srm: option requires an argument -- h
Usage :
./srm [option]* -s input.tiff output.tiff
 Welcome on srm (Statistical Region Merging), By R. Nock and F. Nielsen
 Important notice on this software:
    * it is provided AS IS, without ANY guarantee
    * it is provided for RESEARCH PURPOSE ONLY

 Options:
  h : displays this help
  S : in {0,1,2,3}, type of output (0=bordered regions with original pixels,
                                    1=black-bordered regions with white pixels,
                                    2=bordered regions with average-color pixels,
                                    3=randomized colored regions)
  B : 0-2, border color
      0=black (valid for S=0,2)
      1=white (valid for S=0,2)
      2=no border (valid for S=0,2)
  P : 0-1, saves (when P=1) the (at most) 15 largest regions of the segmentation
           in files named [output.tiff]_RegionX, for X=0, 1, ...
  T : in {0,1,2,3,4}, type of noise (0=no noise,
                                     1=transmission noise,
                                     2=salt and pepper noise,
                                     3=Gaussian (Cf Xu et al., PRL (19) pp 1213--1224, 1998),
                                     4=artificial occlusions (s random occlusions) )
  N : 0-100, % of pixels having noise (transmission, salt and pepper),
      >0   : sigma (Gaussian noise)
      >0   : s (random occlusions)
  U : 0-1, type of neighborhood for sorting couples:
      0  : original (Delta=0)
      1  : for noise handling (Delta=10)
  G : 0-1, convolution filter for sorting couples:
      0  : no
      1  : Sobel-type of arbitrary size
  F : >1, parameter for the size of the convolution filter when G=1 (actual size=2*F+1):
  O : 0-1, occlusions merging (0 is No, 1 is Yes)
  Q : >=1, complexity parameter of the statistical model (Cf paper)

 Default settings: S=B=P=T=N=U=G=O=0, Q=32

 Notices:
   * noisified images are also saved; the Filename is [output.tiff]-original-noisified
   * when P=1 and images are noisified, the regions saved are those of the -original image-

Images and experiments

• images are represented with their original size;
• images are put in the appearence order of the drafts (figures/position in tables);
• figure references are those of the submission drafts;
• for each image, we also give some of the largest regions found by SRM;
• the image names are those of the drafts; if you click on the image name, you retrieve a gzipped .tif copy of the original;
• to avoid eventual downloading problems for the images, we suggest to right click + select "Save Link As..." on the desired image link;
• command lines are also given: cut and paste to rerun the experiments.

House

Original image

-Q 1	-Q 2	-Q 4	-Q 8	-Q 16	-Q 32	-Q 64	-Q 128	-Q 256

BSDB experiments

here

Windows material

here

Feedback