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We propose a computationally efficient methodology to determine the background classes and anomalies in a moving sequence of hyperspectral data. A target material may be considered as an anomaly in an image that has a spectral signature different from the spectral signatures of the background objects. In order to detect such anomalies in an image, the(More)
Laser profilers for pipe inspection have been recently proposed. Most of these systems are based on the geometrical analysis of pipes, measuring radial distance by means of changes in the pipe images by the method known as triangulation. In this work, a novel approach that uses the intensity distribution of the reflected light is proposed in order to assess(More)
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