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A performance comparison of three advanced edge detection algorithms, 2002

 Item — Call Number: MU Thesis Kea
Identifier: b2088044
Abstract Imaging systems that operate in the mid-infrared spectrum have a lot of potential for use in military trackers and weapon systems. Edge detection is the primary means from which a target's spatial and trajectory features are derived. Targets are separated from the image background using edge detection in a process called segmentation. Typical edge detection techniques employ thresholding operators to emphasize the areas in an image where intensity changes significantly. Techniques have...
Dates: 2002