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An algorithm for detecting layer boundaries in sediments

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Academic year: 2021

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Figure

Fig. 2. Absolute value of the gradient in the y-direction of the de- de-composed images
Fig. 3. Cross sections along the y-axis of 1h. The lines are shifted by the lag τ which yields the maximal correlation coefficient φ be-tween the first and the concerned line
Fig. 6. Left: the visual core description from the expedition log. (Picture courtesy of IODP.) Right: The layer boundary lines found by the algorithm
Fig. 7. Layer boundaries found by the Canny edge detection algorithm. The standard deviation for the Gaussian filter was set to 50.
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