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- W2103744785 abstract "Rock fractures junctions are important objects for detection of rock fracture. Traditionally, junction detectors are devoted to the step-edge corners. Such corners are usually located using a Laplascian operator (zero-crossings or extrema) or a curvature measure based on the gradient direction. However, the gradient direction of a line does not exist, and a line junction does not correspond to a zero-crossing of the Laplacian. Consequently, step-edge corner detectors are not suitable for line junctions. Their response to a single line junction is not unique. There are other methods to detect the junction. Most of them find L-shaped corners, but create multiple or no responses for more complex junctions. This paper proposes a robust detection method for gray-level line junction which is called the neighborhood pixel-track algorithm. Examples are provided based on experiments with synthetic and real images. The achieved results demonstrate that such junction detection algorithm can successfully identify T-and Y-junctions, and of degree four X-junctions or more complex intercross of rock fractures." @default.
- W2103744785 created "2016-06-24" @default.
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- W2103744785 date "2009-10-01" @default.
- W2103744785 modified "2023-09-26" @default.
- W2103744785 title "Detection of Rock Fractures Junction in Gray-Level Images" @default.
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- W2103744785 doi "https://doi.org/10.1109/cisp.2009.5304764" @default.
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