Abstract:A new approach for automatic battle tank recognition and segmentation has been developed. This paper presents the design and implementation for this new algorithm. The main ideas, approaches, limitations, and possible extension for future work are also discussed.This approach consists of three phases. In the first phase (foreground and background separation), It discriminates the foreground targets from background based on the feature data such as gray(or color) levels, and statistical data such as gray levels… Show more
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