PROGRAMS FOR FEATURE TRACKING
-----------------------------

Read the comments in the programs and set correctly
the editable parameters according to your data. 

1. IMAGE SEGMENTATION

 1.1 Threshold method
	udisol2.pro	> udisol2,movin1,movout,area
	udisol2m.pro	> udisol2m,movin1,mask,movout

 1.2 Gradient method
	strousisol.pro	> strousisol,movin,movout,sh,msk
	stroal.pro	> SEG = STROAL(IMA,SH) (subroutine)

2. FEATURE TRACKING
	otrack4.pro	> otrack4,smov,out,lf
	  (outputs peak intensities of tracked features)
	otrack4ai.pro	> otrack4ai,smov,out,lf
	  (outputs average intensities of tracked features)
	objekt2.pro	> objekt2,ima,tab  (subroutine)

3. TRIMMING OF RESULTS

 3.1 Elimination of too short-lived, too small and too fast features
	otrim.pro	> otrim,datin,inlf,lim,msz,datout

 3.2 Elimination of  gaps (due to bad seeing) in the tracking records
	recur.pro	> recur,datin,surr,gap,datout,newlf

4. STATISTICAL EVALUATION
	otrok3.pro	> otrok3,inout,result

NOTES:
For image segmentation, threshold or gradient methods are used
alternatively, depending on the character of the data.
The feature tracking is performed by OTRACK4 or OTRACK4ai.
The trimming of results by OTRIM is necessary to eliminate spurious
features caused by noise. RECUR can be used optionally if the image
quality changes significantly with time.