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Canny algorithm

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Journal Article
Published: 22 July 2021
Quarterly Journal of Engineering Geology and Hydrogeology (2022) 55 (1): qjegh2021-016.
.... A grey-level co-occurrence matrix was employed to locate the joint regions, allowing more focused and effective detection processing, followed by extractions of the upper and lower edges of rock joints using the Canny algorithm. Four basic geometric parameters of rock joints (orientation, depth, aperture...
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Image
Arrival picked by the Hough transform for a linear distributed acoustic sen...
Published: 03 April 2024
Figure 2. Arrival picked by the Hough transform for a linear distributed acoustic sensing (DAS) array (a) image after short‐term average/long‐term average (STA/LTA) and Canny algorithm operations, (b) the Hough transform result, (c) detected lines, and (d)  P ‐ (red) and S ‐waves (green) picking
Journal Article
Published: 03 April 2024
Seismological Research Letters (2024) 95 (4): 2316–2327.
...Figure 2. Arrival picked by the Hough transform for a linear distributed acoustic sensing (DAS) array (a) image after short‐term average/long‐term average (STA/LTA) and Canny algorithm operations, (b) the Hough transform result, (c) detected lines, and (d)  P ‐ (red) and S ‐waves (green) picking...
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Journal Article
Published: 01 September 2018
Jour. Geol. Soc. India (2018) 92 (3): 321–328.
... by developing program in Matlab using ETM of Landsat-7. Mankisch et al., (2007) used laser scanning data and conducted analysis in ESRI, GRASS and eCognition environment. LINE and Hough Transformation, both uses the Canny’s edge enhancement algorithm ( Canny, 1986 ). Other edge enhancement technique like...
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Journal Article
Published: 01 May 2019
Jour. Geol. Soc. India (2019) 93 (5): 607–613.
...) in the United Arab Emirates, consisted of the use of multiband images of LANDSAT processed by histogram equalization and finally processed images were run in the Canny algorithm which automatically detected the geologic lineaments. Automatically, lineaments have been extracted by Abdullah et al. (2010...
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Journal Article
Published: 01 July 2003
Journal of Sedimentary Research (2003) 73 (4): 630–636.
... by the number of dilations (ND) giving maximum precision (minimum random error e ). Light dotted line is line of equality, heavy dashed line is after correcting for overall mean bias ( b ) in each method. One stage in the Canny method is edge seeding. We have developed algorithms which use it in two...
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Journal Article
Journal: Interpretation
Published: 28 March 2024
Interpretation (2024) 12 (2): SB19–SB27.
... images were then exported, typically in a comma-delimited (.csv) file format, suitable for subsequent analysis. These exported images served as input for our CV workflow, where techniques such as Gabor filtering, thresholding, Canny edge detection, and DL algorithms were used for fracture detection...
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Journal Article
Journal: Interpretation
Published: 16 July 2015
Interpretation (2015) 3 (3): SX63–SX74.
...) for the interpretation of salt bodies. They represent the limits of the structures present in the image. The proposed edge-detection process is derived from the Canny (1986) edge detector, and it takes into account an initial approximate interpretation of the sedimentary structure defined by an interpreter...
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Journal Article
Published: 01 June 2012
Journal of Environmental and Engineering Geophysics (2012) 17 (2): 89–101.
... for a smoothly varying model structure across the host medium and within the disconnected target, but does not permit smoothing across the boundary defined by the disconnect. Bouchedda et al. (2012) describe a joint structural inversion algorithm for cross-hole electrical resistance tomography (ERT...
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Journal Article
Journal: Geophysics
Published: 22 May 2024
Geophysics (2024) 89 (4): D229–D242.
... that the proposed method effectively preserves texture details better than other methods. To evaluate image structure quality, we use the Canny operator ( Canny, 1986 ), a widely used edge detection algorithm. Figure 18. Comparison with the results of Wang et al. (2019) and Du et al. (2020) : (a) original...
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Journal Article
Journal: Interpretation
Published: 07 August 2019
Interpretation (2019) 7 (3): SE251–SE267.
... interpretation, but it is quite computationally intensive and often demands higher hardware configuration (e.g., graphics processing unit). We have developed an innovative scheme for improving seismic fault detection by integrating the computationally efficient SVM/MLP classification algorithms with local...
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Journal Article
Published: 01 May 2013
Seismological Research Letters (2013) 84 (3): 489–494.
... ), a licensable software available from Los Alamos National Laboratory. RaveGrid takes raster images as input, and using specialized algorithms separates features into polygonal elements based on size, gray levels, and other morphological entities. We then used the software package MATLAB ( http...
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Journal Article
Journal: Interpretation
Published: 16 May 2016
Interpretation (2016) 4 (3): T271–T280.
... in an image. Edge detection has the capability to segment images into two or more regions by connecting broken edges into lines and boundaries. There are many edge detection operators, such as those introduced by Roberts (1963) , Sobel (1970) , Prewitt (1970) , and Canny (1986) . These operators along...
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Journal Article
Journal: Interpretation
Published: 23 September 2024
Interpretation (2024) 12 (4): T413–T424.
... immunity needed to be improved. Later, the multitrace coherence algorithm based on the semblance computation (C2) ( Marfurt et al., 1998 ) and the coherence algorithm based on the characteristic structure (C3) ( Gersztenkorn and Marfurt, 1999 ) were developed. However, the eigenstructure-based coherence...
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Journal Article
Published: 01 December 2005
Earthquake Spectra (2005) 21 (1_suppl): 295–307.
... were identified using a semi-automated computer-based algorithm. This analysis indicates that the damage within the city of Bam was concentrated in the eastern sections of the city. The extent of damage in some sections of the city reached 100%. The results from this study not only provide information...
Journal Article
Journal: Geophysics
Published: 14 November 2017
Geophysics (2018) 83 (1): IM1–IM13.
... applications, specifically X-ray computed tomography and seismic volumes, are detailed below for the interested reader. These algorithms aim to construct complete boundaries from their detected edges and thus completely segment the enclosed objects from the rest of the input model. However, this problem can...
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Journal Article
Journal: Clay Minerals
Published: 01 December 2018
Clay Minerals (2018) 53 (4): 603–620.
...., 2014 ). The Canny edge detection algorithm is one of the most effective edge-detection methods (Sonka et al., 2014 ). In this method, almost all of the real edges in the image are detected (even weak edges). On the other hand, false edges ( i.e. other image features that are analogous to an edge...
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Journal Article
Journal: Interpretation
Published: 26 March 2014
Interpretation (2014) 2 (2): T89–T101.
... and Hildreth, 1980 ); (3) the Canny detection operator based on an optimal criterion ( Canny, 1986 ); (4) the wavelet multiscale edge-detection operator ( Xiping, 2011 ); (5) a mathematical morphology algorithm ( Matheron, 1965 ; Serra, 1965 ); and (6) algorithms based on statistics and integral transforms...
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Journal Article
Journal: Interpretation
Published: 21 April 2023
Interpretation (2023) 11 (2): T339–T347.
..., but it relies on a geostatistical simulation algorithm generating multiple realistic geological realizations, which becomes difficult when the geometry and spatial arrangement of the layers are too complex to be simulated in an efficient way ( Wang et al., 2022 ). For example, the chalk and flint layers...
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Journal Article
Journal: The Leading Edge
Published: 01 June 2018
The Leading Edge (2018) 37 (6): 451–461.
... workflows based on typical or advanced image-processing and machine-learning algorithms. In recent years, increasing computational power and the massive amount of available data have led to the rise of deep learning. Deep-learning models that simulate the human brain's biological neural networks can achieve...
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