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rock images for image processing

Processing of rock core microtomography images: Using ...

2016-1-1  2.2. Image acquisition and processing. An image of a cylindrical rock sample with a diameter of 30 mm was acquired using a custom-built XCT scanner based on a CT-Alpha system (ProCon, Sarstedt, Germany) at the Institute for Geosciences laboratory in Mainz, Germany.The XCT scanner consisted of a Feinfocus microfocus X-ray tube (Yxlon, Hamburg, Germany) with a diamond-coated

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Analysis of Rock Fragmentation Using Digital Image

In this paper, a procedure for calculating the size distribution of rock fragments using video images is described. The procedure utilizes a high‐resolution video camera for image capturing in the field and a set of computer algorithms for processing the video images.

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ANALYSIS OF ROCK FRAGMENTATION USING DIGITAL

analysis of rock fragmentation using digital image processing The paper describes a procedure for calcualting the size distribution of rock fragments using video images. The procedure uses a high-resolution video camera for image capturing in the field and a set of computer algorithms for processing the video images.

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New image processing algorithm for geological structure ...

New image processing algorithm for geological structure identification of rock slopes based on drone-captured images, A. Citable Link(s) ... First, high resolution images are acquired with a drone to identify geological structures foror a give part of a rock slope. The acquired digital images are then processed in Image J. Next, MATLAB software ...

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Blast fragmentation analysis using image processing

2 天前  Since rock particle images vary from one to another, it is difficult or even impossible to design and develop one segmentation algorithm for all kinds of rock particle images. The presented segmentation algorithms were developed for just several types of rock particle images with certain characteristics with respect to segmentation [20].

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Methodology for obtaining contact angles in rock sample ...

2020-2-12  The image resolution also affects the image processing results, although not intuitively, as shown in Fig. 5. Rock sample images. Methods 2 and 3, with maximum polynomial order of four, are applied in three images of the weakly water-wet sample from the segmented dataset of Alhammadi et al. .

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An approach for wellbore failure analysis using rock ...

2018-10-1  4. Image processing procedure. The image of the coarse portion of samples (cavings) was taken and imported to ImageJ software for processing. This method was to obtain quantitative data from the images including area, circularity, roundness and perimeter together with the minimum and major axis lengths of particles.

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rock images for image processing - zsmecina.pl

New image processing algorithm for geological structure identification of rock slopes based on drone-captured images, A. Citable Link(s) First, high resolution images are acquired with a drone to identify geological structures foror a give part of a rock slope. The acquired digital images are

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GitHub - rock-perception/perception-stereo: The stereo ...

2016-12-15  The stereo library contains functions to process stereo images using both dense and sparse methods. The library also contains support functions for pre-processing stereo images. - GitHub -

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Image Classification Using Convolutional Neural Networks

2016-9-9  forms an important part of image processing. The objective of image classification is the automatic allocation of image to thematic classes [1]. Two types of classification are supervised classification and unsupervised classification. The process of image classification involves two steps, training of the system followed by testing.

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ANALYSIS OF ROCK FRAGMENTATION USING DIGITAL

analysis of rock fragmentation using digital image processing The paper describes a procedure for calcualting the size distribution of rock fragments using video images. The procedure uses a high-resolution video camera for image capturing in the field and a set of computer algorithms for processing the video images.

Read More
Blast fragmentation analysis using image processing

2 天前  Since rock particle images vary from one to another, it is difficult or even impossible to design and develop one segmentation algorithm for all kinds of rock particle images. The presented segmentation algorithms were developed for just several types of rock particle images with certain characteristics with respect to segmentation [20].

Read More
New image processing algorithm for geological structure ...

New image processing algorithm for geological structure identification of rock slopes based on drone-captured images, A. Citable Link(s) ... First, high resolution images are acquired with a drone to identify geological structures foror a give part of a rock slope. The acquired digital images are then processed in Image J. Next, MATLAB software ...

Read More
An approach for wellbore failure analysis using rock ...

2018-10-1  4. Image processing procedure. The image of the coarse portion of samples (cavings) was taken and imported to ImageJ software for processing. This method was to obtain quantitative data from the images including area, circularity, roundness and perimeter together with the minimum and major axis lengths of particles.

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Digital Image Processing Applications Image Processing ...

2021-5-28  Image Processing help in : 1. Improvement in digital information stored by us. 2. Making working with images automated. 3. Better image optimization leading to efficient storage and transmission. Over the years, image processing has improved a lot, and there are a lot of modern commercial applications of image processing.

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GitHub - rock-perception/perception-stereo: The stereo ...

2016-12-15  The stereo library contains functions to process stereo images using both dense and sparse methods. The library also contains support functions for pre-processing stereo images. - GitHub -

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Satellite Images for Oil Exploration Satellite Imaging Corp

2021-10-28  Satellite images are used to: Detect seismic lines and well locations. Document persistent offshore oil seepage. Map rock formations, elevation, and major structures. Update coordinates of old well locations. Differentiate major rock types.

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Image Classification Using Convolutional Neural Networks

2016-9-9  forms an important part of image processing. The objective of image classification is the automatic allocation of image to thematic classes [1]. Two types of classification are supervised classification and unsupervised classification. The process of image classification involves two steps, training of the system followed by testing.

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GitHub - BorisLouis/Segmentation: Image processing for ...

2020-8-7  Segmentation. Image processing for Polymer networks microscopy images (Segmentation, pore properties calculations, 3D rendering,...) in MATLAB. The repository was used for the following Vandaele et al. Structural characterization of fibrous hydrogels using fluorescence microscopy.

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Medical Image Processing, Analysis and Visualization

The MIPAV (Medical Image Processing, Analysis, and Visualization) application enables quantitative analysis and visualization of medical images of numerous modalities such as PET, MRI, CT, or microscopy. Using MIPAV's standard user-interface and analysis tools, researchers at remote sites (via the internet) can easily share research data and ...

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Top 100+ Image Processing Projects - Source

2017-8-5  Here is the list of best image processing projects for students community. Image processing is a method to perform some operations on an image, to enhance or extract.It is a rapid growing technology and a part of an artificial intelligence. Best Image Processing

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Basic Image Processing with FIJI/ImageJ

2021-10-27  to get a background image. 3. Open both images in ImageJ. 4. Select the background image and hit Ctrl-A to select the entire image. Press m _ to measure the mean intensity of the image. 5. Go to Process > Calculator plus. 6. Set the following parameters, then hit OK: a. i1 = the image b. i2 = the background image c. Operation = Divide ( k1*(i1 ...

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GitHub - rock-perception/perception-stereo: The stereo ...

2016-12-15  The stereo library contains functions to process stereo images using both dense and sparse methods. The library also contains support functions for pre-processing stereo images. - GitHub - rock

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Satellite Images for Oil Exploration Satellite

2021-10-28  Satellite images are used to: Detect seismic lines and well locations. Document persistent offshore oil seepage. Map rock formations, elevation, and major structures. Update coordinates of old well locations. Differentiate major rock types.

Read More
Image Classification Using Convolutional Neural Networks

2016-9-9  forms an important part of image processing. The objective of image classification is the automatic allocation of image to thematic classes [1]. Two types of classification are supervised classification and unsupervised classification. The process of image classification involves two steps, training of the system followed by testing.

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JMicroVision: Image Analysis Toolbox

2020-12-23  Image analysis toolbox: measuring and quantifying components of high-definition images. The program contains most of the common image processing operations and has innovative features.

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GitHub - BorisLouis/Segmentation: Image processing for ...

2020-8-7  Segmentation. Image processing for Polymer networks microscopy images (Segmentation, pore properties calculations, 3D rendering,...) in MATLAB. The repository was used for the following Vandaele et al. Structural characterization of fibrous hydrogels using fluorescence microscopy.

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Image Interpretation [] - Landscape Toolbox

2012-8-27  Image interpretation is the process of examining an aerial photo or digital remote sensing image and manually identifying the features in that image. This method can be highly reliable and a wide variety of features can be identified, such as riparian vegetation type and condition, and anthropogenic features such as roads and mineral extraction ...

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Medical Image Processing, Analysis and Visualization

The MIPAV (Medical Image Processing, Analysis, and Visualization) application enables quantitative analysis and visualization of medical images of numerous modalities such as PET, MRI, CT, or microscopy. Using MIPAV's standard user-interface and analysis tools, researchers at remote sites (via the internet) can easily share research data and ...

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Dragonfly 3D Visualization and Analysis Solutions for ...

2021-9-1  Dragonfly provides high-impact visualizations and quantitative results for multi-scale, multi-modality image data acquired by CT, microCT, MRI, X-ray microscopy, FIB-SEM systems, and other modalities. Dragonfly's specialized workflows and easy customization through Python scripting can be applied across a range of application areas, including materials science, life sciences, geoscience ...

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