Individual project for CSE190a at UCSD Winter Quarter 2008. The project is based upon the design and requirements specified by the UCSD AUVSI team that is entering the AUVSI UAS competition for UAV reconnaissance.

Friday, February 15, 2008

Better than before

I have now updated the histogram to basically select the best chi value it finds from an image. If it is above a certain threshold then i can assume it has something in that portion of the image. However, this does work in the sense that all target values are passed through however some none targets seem to be creeping, i am going to play with the threshold level so that it works dynamically to maybe improve the efficiency of the program.

Currently the images 1-6 are TARGETS and 7-13 are EMPTY. The output from my matlab code gives the following results with no improvements or tweaking to the thresholds;

1: 0.037861 Present
2: 0.257812 Present
3: 0.033023 Present
4: 0.067213 Present
5: 0.094324 Present
6: 0.306998 Present
7: 0.015638 Empty
8: 0.015694 Empty
9: 0.949423 Present
10: 0.015573 Empty
11: 0.010490 Empty
12: 0.030843 Present
13: 0.012793 Empty

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