2024
DOI: 10.1109/jas.2017.7510391
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Rock fissure pattern characterization by combining 1-D fractal dimension and statistical analysis

Abstract: How to characterize rock fissures/fractures is significant for the measurement and analysis in a lot rock engineering applications. A new method for characterizing rock fissure patterns is studied in this paper. It is constructed by combining 1-D fractal dimension and statistical analysis for the whole rock surface in an image. In a binary fissure image, to characterize fissures accurately, all the possible fissures are skeletonized, and then the short lines or curves are removed and the gaps on the main fissu… Show more

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Cited by 5 publications
(5 citation statements)
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“…In particular, in order to dissipate their angular momentum, particles on the disk are assumed to rotate around the central BH with a Keplerian velocity. Photons are assumed to be emitted from the disk according to an isotropic blackbody (BB) distribution at different temperatures, following a Novikov-Thorne radial profile (a multicolor disk, see Novikov & Thorne 1973;Wang 2000, see also Cunningham 1975 for a more complete relativistic treatment),…”
Section: The Modelmentioning
confidence: 99%
“…In particular, in order to dissipate their angular momentum, particles on the disk are assumed to rotate around the central BH with a Keplerian velocity. Photons are assumed to be emitted from the disk according to an isotropic blackbody (BB) distribution at different temperatures, following a Novikov-Thorne radial profile (a multicolor disk, see Novikov & Thorne 1973;Wang 2000, see also Cunningham 1975 for a more complete relativistic treatment),…”
Section: The Modelmentioning
confidence: 99%
“…8(a), a road network is at the bottom of a mountain slope, the hillsides are covered with grass and light yellow color rock which has the similar color as road network has, therefore, the road network is difficult to detect. The Otsu [25], Dynamic thresholding [25], Canny [24],…”
Section: Results and Analysesmentioning
confidence: 99%
“…We use the maximum disk model based algorithm for object skeleton [1][2]24]. The algorithm simulates the process of the burning grass, that is to say, the medial axis locus can be obtained by utilizing the object's gradual evolution from edge to center.…”
Section: Road Central Line Detection In a Binary Imagementioning
confidence: 99%
“…The main idea of the algorithm is to peel the boundary evenly again and again, and the result is that the boundary is the innermost part (otherwise it will affect the connectivity) to become the skeleton. Axis transformation algorithm [29] simulates the process of the burning grass, that is to say, the medial axis locus can be obtained by applying the object's gradual evolution from edge to center. The main idea is to uniformly peel the edges layer by layer, and consequently, the rest of the inner-most layer can be in skeleton.…”
Section: Lane Line Skeleton Extractionmentioning
confidence: 99%