This function calculates the temporal speckle kurtosis matrix (K). Use as
input data a 3D matrix created grouping NTIMES intensity matrices I(k)
1<=k<=NTIMES
I(k)=DATA(:,:,k)
$MU = \frac{1}{NTIMES} \sum\limits_{k=1}^{NTIMES} I(k) \approx E[I(k)]$
$SIGMA = \sqrt{ \frac{1}{NTIMES} \sum\limits_{k=1}^{NTIMES} (I(k)-MU])^2 }$
$K \approx E[\left(\frac{I(k)-MU}{SIGMA}\right)^4]$
The function additionally also returns the temporal standard deviation matrix
and temporal expected matrix.
After starting the main routine just type the following command at the
prompt:
K = graphkurt(DATA);
[K D] = graphkurt(DATA);
[K D E] = graphkurt(DATA);
Input:
DATA is the speckle data pack. Where DATA is a 3D matrix created grouping NTIMES
intensity matrices with NLIN lines and NCOL columns. When N=size(DATA), then
N(1,1) represents NLIN and
N(1,2) represents NCOL and
N(1,3) represents NTIMES.
SHOW [Optional] If SHOW is equal to string 'off', then the result will not be plotted.
Output:
K returns the temporal speckle kurtosis matrix of image Data Pack.
D [Optional] returns the temporal standard deviation matrix of image Data Pack.
E [Optional] returns the temporal expected matrix of image Data Pack.
For help, bug reports and feature suggestions, please visit:
http://nongnu.org/bsltl
Package: bsltl
