The image () function draws an image to the display window. Images must be in the sketch's "data" directory to load correctly. Select "Add file..." from the "Sketch" menu to add the image to the data directory, or just drag the image file onto the sketch window. Processing currently works with GIF, JPEG, and PNG images.
Deciding 86 Rabbani & Ayatollahi FIG. 23: GSD obtained by using the three image processing algorithms for sandstone sample 2 TABLE 7: Grain-size parameters obtained from analyzing 12 random images of each real rock sample calculated by using the three different image processing algorithms Rock type Parameter Berea sandstone sample …
Post, R. (2001). Characterizing of joints and fractures in a rock mass using digital image processing (Doctoral dissertation, MS Thesis, University of Arizona).. Download Citation | On ...
2.3 Digital Image Processing of Gray Level Image. The investigated granite samples were obtained from Aue area, located in the region of the "Erzgebirge-Vogtland Zone" (Saxony, Germany). This granite has an average grain density of 2.59 × 10 3 kg/m 3 and a mean grain size diameter of about 1 mm. The granite consists of quartz, feldspar …
Compared with the recognition of rocks using the technique of rock thin section image processing [3, 43], the presented method has lower requirements on the size, imaging distance, and light intensity of the rock image. In this paper, the rock recognition model trained by ShuffleNet was compared with MobileNet and SqueezeNet …
In this study, our approach is outlined as follows: after acquiring rock aperture images with a resolution of up to 3.9 μm/pixel, we examine several image processing algorithms, such as mechanics moments-based thresholding algorithm and Steger's central line feature point detection, for extracting aperture area, central curve, …
57,907 Free images of Rocks. Find an image of rocks to use in your next project. Free rocks photos for download. landscape nature. lighthouse hill coast. guitar. alberta canada lake. fantasy cave mystical. puffins birds …
This study selected CT images of igneous rock with a resolution of 0.7 um as the research object. DeepLab V3 + and UNet3 + network models in the PaddleSeg framework were used for the deep learning process. ... However, traditional CT image processing is based on the gray levels of an image, and the gray thresholds are …
57,913 Free images of Rock. Find an image of rock to use in your next project. Free rock photos for download. Find images of Rock Royalty-free No attribution required High …
In general, the DRCSE method for fracture skeleton extraction is divided into three stages, named image pre-processing, image binarization and image morphology processing. Fig. 9 outlines the main steps of each stage. Download : Download high-res image (2MB) Download : Download full-size image.
rock mass based on image processing., Journal of Rock Mechanics and Geotechnical Engineering (2017), doi: 10.1016/j.jrmge.2017.05.001. This is a PDF file of an unedited manuscript that has been ...
In order to realize low-cost, fast, and accurate fracture identification in lining quality inspection and underground engineering stability evaluation, we propose an intelligent fracture identification method, which can achieve depth extraction of fracture information from rock images. Firstly, the fracture identification model combined with …
2.1 Rock Samples and Data Collection. The six rock samples shown in Fig. 1 are prepared from 5 different types of rocks, including granite, marble, gabbro, basalt, and dolomite. They have different rock texture structures, image color and gray values, and fracture distributions. The rock samples are 10 cm × 10 cm × 1 cm cuboids with smooth …
Rock images play a vital role in providing data for engineering geological studies. However, low-light (a.k.a. dark) rock images are often obtained, and the existing methods for image enhancement, whether they are software-based, algorithm-based, or data-driven-based, are incapable of addressing the issue. This paper establishes a …
A solution to the previous problems is to obtain low-resolution large images at higher speed and restore the underlying high-resolution noise-free image through …
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.
Application of the image processing techniques (IPT) to identify rock mass geometry provides more fast information about discontinuity properties used in geo-engineering characteristics. In this regard, the field survey can be improved using IPT. This study has utilised the IPT to identify the discontinuity and block volume characteristics in …
Presence of joints and fractures in rocks strongly influences the behavior of the rock mass by dividing the media into smaller units. These structures intensify the potential instability besides the development of sliding and rotational movements. The assumption of discontinuum media changes the whole analysis conditions in relation to the continuum …
Image processing is used to extract these features before machine learning. For example, Launeau et al. obtained the color characteristics from microscopic images of thin sections of rocks and combined them with the parallel pipeline method to identify six minerals in the rock. This method relied on significant compositional heterogeneity ...
Abstract. Segmentation is a critical step in Digital Rock Physics (DRP) as the original images are available in a gray-scale format. Conventional methods often use thresholding to delineate distinct phases and, consequently, watershed algorithm to identify the existing phases. Such methods are based on color contrast, which makes it difficult ...
With the application of digital image processing technology in the distribution of rock fragmentation, it will play a greater role in the optimization of blasting parameters [2] .
PDF | On Jan 28, 2022, Yufu Niu published Applications of Physically Accurate Deep Learning for Processing Digital Rock Images | Find, read and cite all the research you need on ResearchGate
Image processing, in this context, may be used as an automated tool to segment images of rock particles into color channels, each channel representing a different mineral type.
Conclusion. We have developed a deep learning based three-phase segmentation model and trained it on multiple 3D micro-CT rock images with a wide …
The 42nd Asian Conference on Remote Sensing (ACRS2021) 22-24th November, 2021 in Can Tho University, Can Tho city, Vietnam EXTRACTING ROCK INFORMATION BASED ON INTEGRATED CONVOLUTIONAL NEURAL NETWORK AND IMAGE PROCESSING TECHNOLOGY Jiangying Wang1, Yun Zhou2, and Miaofen Huang3* 1Guangdong …
In the field of rock image identification, few studies are explored to address the issue of improving the performance of final masks when low-resolution images are used as input. In this paper, we propose an approach to address the problem of semantic segmentation of digital rock images with low resolution, using the super-resolution …
Similarly, Singh et al. [9] extracted 27 features from thin-section images of basalt rock and were able to recognize and classify 140 thin-section images of rock samples with an accuracy of 92.22%
General-purpose digital image processing techniques (e.g. greyscale threshold, greyscale smoothing and edge detection) have been used previously to highlight discontinuity traces in digital images of rock mass exposures, and so assist in the analysis of discontinuity geometry [3], [4].
Image processing techniques are then applied to the rock images to measure the physical and fluid flow properties (Andra et al. 2013). One of the key components of DRP frameworks is image segmentation. Digital rock (DR) images contain important information such as mineral distribution and pores which need to be …
To date, depth estimation based on caving rock images has not been treated in the literature. This paper presents a new depth caving estimation system based on the classification of caving images through feature extraction. ... Skea C, et al., An approach for wellbore failure analysis using rock cavings and image processing, Journal of Rock ...
In the digital image processing, the spatial distribution of rocks and soils is depicted by the pixel fields (2D for pictures and 3D for CT scanning). The brightness of each pixel is sensed and assigned with an integer named gray levels (Wang et al., 2019b, Zhang et al., 2019).
Image segmentation is an important part of the standard digital rock physics (DRP) workflows. In this paper, we present ground-truthing of digital rock images using …
mineral distribution in the rocks. Specically, digital image processing techniques are developed for quantifying actual distribution of main minerals in color rock cross-section images. Two dierent techniques used for digital image processing are (i) region segmentation method and (ii) edge detection method. The working methodology for each of
This study is based on image processing technology, aiming to improve the accuracy and efficiency of predicting rock mechanical properties through the quantitative analysis of high-resolution microscopic images of rocks. Although the application of image processing technology in the field of rock mechanics has made some
The features of the digital grey images of the rock thin sections are extracted using image processing technique in a neural network toolbox, and then the features are as input of a neural network ...
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