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In this paper, a Morse signal automatic detection method is proposed base on computer vision. Firstly, an energy accumulation preprocessing method is proposed, and the signal area is found by nonlinear transformation. Secondly, based on the description method of computer vision, different types of signal are transformed into feature matrix. Finally, the signal detection classifier is built and trained based on machine learning. Performance of the classifier is evaluated and the generalization ability of the classifier is proved by real-time data testing. ©2019.
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