Provided by: gpivtools-mpi_0.6.0-3build1_amd64 bug

NAME

       gpiv_rr  -  interrogates  an  image  (pair)  in  order to obtain displacements of particles for (Digital)
       Particle Image Velocimetry (PIV)

SYNOPSIS

       gpiv_rr [--cf int] [--cl int] [--cp int] [-g] [--gauss] [-h | --help] [--ifit  0/1/2/3]  [--ischeme  int]
       [--ia_size_i int] [--ia_size_f int] [--ia_shift int] [--linec int int int] [--liner int int int] [-o] [-p
       |  --print] [--peak int] [--p_piv] [--point int int] [--rf int] [--rl int] [--rp int] [-s float] [--spof]
       [-v | --version] [--val_r int] [--val_s int] [--val_t float] [filename] < stdin > stdout

DESCRIPTION

       gpiv_rr interrogates an image or image pair that is obtained from a fluid flow by the  so-called  Digital
       Particle Image Velocimetry (DPIV) technique. Therefore, image(s) are sub-divided into interrogation areas
       on  a  rectangular grid.  At each interrogation area the mean (or most probable) particle displacement is
       estimated. This is done by correlating the belonging interrogation areas of an image-pair by means of the
       Fast Fourier Transformation (FFT) technique, resulting into a two-dimensional correlation  function.  The
       location  of  the  highest  function peak, then, represents the mean or most probable displacement of the
       particle images that have been resident within the interrogation areas.  Estimation  of  the  correlation
       peak  at  sub-pixel level may be calculated by different interpolation schemes. The program allows cross-
       correlation of single-exposed images on different frames or auto-correlation of a  multi-exposed  single-
       frame  image.  Interrogation  areas  of arbitrary sizes may be used in order to obtain an optimum spatial
       resolution. Adaptive sizes of interrogation  areas  allow  for  large  dynamic  ranges  of  the  particle
       displacements.  Zero  offsetting of the interrogation areas by an iterative interrogation process results
       into  higher  accuracy/lower  biases  of  the  particle  image  displacements.  A  central   differential
       interrogation  scheme  than might be applied. This may result into improved estimators, compared with the
       'classical' forward interrogation scheme, especially in case of strong shear strain and vorticity of  the
       flow.  Most  accurate  results, however, are obtained by deforming the images towards each other by using
       the PIV estimators. As a convergence criterium for these iterative procedures, the cumulative  difference
       (defined  by  GPIV_CUM_RESIDU_MIN  =  0.25)  between the PIV estimators from the current and the previous
       iteration is used. After each interrogation  the  PIV  estimators  are  validated.  Before  outliers  are
       substituted  as defined by the VALID parameters, it will be tried if the PIV estimator from the second or
       third highest correlation peak will be valid.

       gpiv_rr is fed with images of the following formats: Portable Network Graphics (filename.png), raw binary
       data (filename.r) that is accompanied by an ASCII header file  (filename.h),  HDF5  (filename.hdf),  tif,
       gif,  pgm,  bmp  and  LaVision's (tm) uncompressed image format (filename.img). For cross-correlation the
       second image frame has to be concatenated after the first one into a single image  file.  This  might  be
       performed  by  gpiv_combing.  Image parameters are read from the header or from other parameter resources
       (containing the key IMG) in case they are absent in the image header.

       The configuration parameters (containing the EVAL or VALID) key may be  overruled  by  the  command  line
       options, as explained below.

Options

       --cf N Specify  the  first  column  N  in  the image to interrogate. If --ad_int has been used, the first
              column has to be equal or larger than (int_size_2  - int_size_1)/2.

       --cl N Specify the last column N in the image to interrogate.

       --cp N Pre-shift of N columns. This can be used if there is a common mean flow in x-direction in the area
              of observation. Relative small interrogation areas (allowing a high  spatial  resolution)  may  be
              used  in  that  case  with  conservation of a high probability in finding the correct displacement
              peaks.

       -g     Graphic visualisation of the output with gnuplot. Can only be used in combination with filename).

       --gauss
              Gauss weighting of interrogation area to reduce high spatial frequency  signal  generated  by  the
              boundaries.

       -h | --help
              Print a help message on standard output and exit successfully.

       --ifit 0/1/2/3
              Three-point interpolation model for peak maximum estimation at sub-pixel level. 0: none, 1: Gauss,
              2: Parabolic or 3 Center of Gravity.

       --ischeme 0/1/2/3/4
              Interrogation scheme: no correction (0),

              linear  kernel  weighting (1); This is applied to the calculation of the correlation function; the
              weighting of the image data decreases towards  the  edges  of  the  interrogation  region.  Kernel
              weighting  compensates this effect. Will be disabled if interrogation area size of image 2 differs
              from image 1.

              zero offset (2); Searches (iteratively) the correlation peak by zero offsetting the  interrogation
              area's,  until the peak maximum lies between (-1,-1) and (1,1). The images are interrogated by the
              'classic' forward differential scheme.  During the last  iteration  step,  sub-pixel  displacement
              will be calculated as defined with -ifit.

              Zero offset with central differential (3); The images are interrogated by the central differential
              scheme.  This  is  done  by  displacing  the  interrogation  area of the first image with half the
              (integer) magnitude of the pre-shift value in negative direction and displacing the  interrogation
              area of the second image in positive direction (of identic magnitude).

              Image  deformation  (4);  The  images  of a pair are deformed following the particle displacements
              obtained from the initial PIV estimators or from the previous iteration step. The first  image  is
              deformed  in  positive direction with half the (float) magnitudes of the estimators and the second
              image in negative direction. In this way, both deformed images will show the particle positions at
              the moment in-between the recordings. After the iteration has been converged  and  -p  option  has
              been  used,  the  deformed  images are stored (defined by GPIV_DEFORMED_IMG_NAME = gpiv_defimg) in
              TMPDIR (/tmp for UNIX-like systems), which may be used as a check.

       --ia_size_i N
              Initial size of the interrogation area's N. N must be equal or larger than ia_size_f.

              The sizes must be chosen in such a way that the particle displacements remain within 1/4th of  the
              interrogation area's in order to keep the in-plane errors at minimum.

              Choosing  larger  sizes  of  the  initial  interrogation  area's allows high dynamic ranges of the
              estimators. In that case, the largest particle displacements  may  contribute  adequately  to  the
              calculation  of  the estimators, while the estimators of the smallest flow scales are not smoothed
              by the large, initial, dimensions of the interrogation area's. The dimensions of the interrogation
              area's of the first and second image start with ia_size_i. For each next image interrogation,  the
              sizes  will be halved until they will be equal to the final ia_size_f value. The estimator will be
              used as a local pre-shift (zero offsetting, as defined by --ischeme).  In  case  ia_size_f  and/or
              ia_size_i  is  not  a power of two, the sizes of the interrogation area's will be reduced with the
              appropriate factor during the last (iterative)  interrogation  in  order  to  set  them  equal  to
              ia_size_f.  During the last interrogation, the estimator will be between (-1,-1) and (1,1).  Then,
              sub-pixel displacement will be calculated as defined by --ifit.

       --ia_size_f N
              Final size of the interrogation area's N, expressed in pixels. May be chosen arbitrarily.

       --ia_shift N
              Shift of adjacent interrogation areas N, expressed in pixels.

       --linec COL RF RL
              selects a vertical line at column COL to interrogate from the first row RF to the last row RL

       --liner ROW CF CL
              selects an horizontal line at row ROW to interrogate from the first column CF to the  last  column
              CL

       -p | --print
              Print  parameters,  command  line  options,  progress of calculation and eventually used input and
              output filenames to stdout. The output is identic of filename.par, in case -f is used.

       --peak N
              Find the N-th maximum of the correlation peak. In case of auto-correlation,  the  second  peak  is
              taken by default, as the first peak denotes the zero-shift of the particle displacements.

       --p_piv
              Print the piv results to stdout, even if -f has been specified.

       --point COL ROW
              Select  a single area in the image to interrogate at location COL ROW. This option might be useful
              for substitution of erroneous displacement vectors. A new estimation of the particle  displacement
              with --peak, then, may give a correct result. Mind to use --p_piv if -f is used; else the original
              data file will be overwritten with a single point analyses.

       --rf  N
              Specify  the  first row N in the image to interrogate. If -ad_int has been used, the first row has
              to be equal or larger than (int_size_2 - int_size_1)/2.

       --rl N Specify the last row N in the image to interrogate.

       --rp N Pre-shift of N rows. This can be used if there is a common  mean  flow  in  y-direction.  Relative
              small  interrogation  areas  (allowing  a  high  spatial resolution) may be used in that case with
              conservation of a high probability in finding the correct displacement peaks.

       -s S   Scale factor for graphical output with gnuplot. This will only affect the length  of  the  vectors
              that represent the particle image displacement magnitude, but not the PIV data itself. In order to
              adapt the scaling of the data, see gpiv_scale.

       --spof Applies  symmetric phase only filtering. This option may drasticly improve the SNR with higher and
              thinner covariance peak.  Especially  useful  when  there  is  flare  or  high  reflections  (from
              boundaries, for example) in one of the two image frames from a PIV image pair. (Werner, Meas. Sci.
              Technol., 16, 601-618).

       -v | --version
              Print version information on standard output then exit successfully.

       --val_r N
              Validation  parameter  to  define  residue  type: Signal to Noise Ratio (N = 0), median value from
              surroundings (N = 1) or normalised median (N = 2).

       --val_s N
              Validation parameter to substitute an erroneous vector by: nothing (N = 0), local  mean  from  the
              surroundings  (N  =  1),  the  median  of the surroundings (N = 2) or the estimation from the next
              highest correlation peak (N = 3).

       --val_t F
              Validation parameter representing the threshold value (float number) of residues to be accepted.

       filename
              Using the full filename of the input image overrides stdin and stdout. Output will be  written  to
              filename.piv.  Parameters  are  stored in filename.par and may be used for future use by including
              them in ./gpivrc.  If stdin and stdout are used, the input is  expected  to  be  a  PNG  formatted
              image.

       SEE ALSO
              gpivtools

NOTES

       gpiv_rr  has been tested with artificial images and with PIV images from gas and liquid flows. Comparison
       with PIV data, obtained from  different  algorithms,  and  with  literature  results  that  similar  data
       reliability and accuracy may be obtained with this program.

AUTHOR

       Gerber Van der Graaf

BUGS

       The  program seems to work fine. Though as the PIV technology itself is subject of research, this program
       is constantly under development.

                                                 3 November 2006                                      GPIV_RR(1)