Image segmentation for improvised explosive devices
This thesis creates algorithms to preprocess colored images in order to segment Improvised Explosive Devices (IEDs). IEDs are usually concealed and camouflaged and therefore more difficult to segment than other objects. We address the increased difficulty with three key contributions: 1) Our algorit...
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Monterey, California. Naval Postgraduate School
2013
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| Online Access: | http://hdl.handle.net/10945/27843 |