Active Contour Detection of Linear Patterns in Spectrogram Images

This paper proposes an extension to the active contour algorithm for the detection of linear patterns within remote sensing and vibration data. The proposed technique uses an alternative energy force, overcoming the limitations of the original algorithm, which relies upon simple energy formulations to extract intensity and gradient information from an image. We overcome these by forming a noise model, which is used to detect a feature's presence, and by integrating information from several locations within an image to strengthen the detection process.