Article ID Journal Published Year Pages File Type
536096 Pattern Recognition Letters 2010 6 Pages PDF
Abstract

This paper proposes an active contour framework for spectrogram track detection. A potential energy is proposed which results in feature extraction at a signal-to-noise ratio (SNR) of 0.5 dB. We show, through complexity analysis, that this is achievable in real-time.

Keywords
Related Topics
Physical Sciences and Engineering Computer Science Computer Vision and Pattern Recognition
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An active contour algorithm for spectrogram track detection
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