first try at finding peppers
test of segmentation of 2d image

Implemented some of the segmentation method presented in Jakobs report.
Clustering does not give any good results but after som tweaking
watershed seems promising...
Reworked the segmentation of 2d images

I used both clustering and a watershed approach to refine the segments.
Added base trilateration files. gn is definately not done.
Prettified gn. Not done though.
Done prettifying. As soon as the code has been tested it should be pushed to master.
Improved the 2D unit tests. It works in 2D. However I've found that the initial guess can be important in some cases. Again the branch should be merged with master once the 3D tests on peppers have been performed.
Working prototype of 2d segmentation

Got a rough 2d implementation of the segmentation process working. It
includes plotting of elipses on image.
Reduced the code somewhat
Generate mat files for ground truth mock1.
Final 2D segmantation algorithm for this sprint

Added comments/documentation and added small features
Fixed trilat.m. It now handles multiple points in one call (matrix arguments).
Added length measurements to the ground truth generator file
Add file for a new GT measurement
Started to write the gt parser, not done.
Added data for measurements in the green house (mock2)
Corrected one data point from the greenhouse measurements.
Final v1.1

bug fix: direction of major axis wasn't properly plottted.
Restructured the ground truth. The gtRaw2gtData does (absolutely) not work. Also the mat is in octave format.
Works for 1 pepper.