liweina's Stars
HuysmanWang/Deep-learning-aided-porous-media-hydrodynamic-analysis-and-three-dimensional-reconstruction
The study of hydrodynamic behavior and water-rock interaction mechanisms is typically characterized by high computational efficiency requirements, to allow for the fast and accurate extraction of structural information. Therefore, we chose to use deep learning models to achieve these requirements. In this paper we started by comparing the image segmentation performance of a series of autoencoder architectures on complex geometries of porous media. The goal was to extract hydrodynamic connectivity channels and the mineral composition of rock samples on SEM (Scanning electron microscopy) data, obtained with a 0.97 accuracy. We then focused on improving the computational efficiency of LBM by using GPU acceleration, which allowed us to rapidly simulate structural flow field features of complex porous media. The results obtained showed that we were able to improve the computational efficiency by a factor of 21 in our device environment. We subsequently employed a SWD-Cycle-GAN technique to migrate sedimentation features to the initial 2D structure slices to reconstruct a 3D (three-dimensional) porous media geometry, that fits the depositional features more closely. Overall, we propose a new method for 3D structure reconstruction and permeability performance analysis of porous media, based on deep learning. The proposed method is fast, efficient and accurate.
Montherapy/Rock-fracture-segmentation-with-Tensorflow
Author's implementation of A deep convolutional neural network for rock fracture image segmentation
Philliec459/Semantic-Segmentation-of-Petrographic-Thin-Sections-using-Keras
This repository was inspired from Divam Gupta's GitHub repository on Image Segmentation Keras
xuezhen2018/Rock-segmentation-visual-system
Moeinh77/Rock-Segmentation-Artificial-Lunar-Landscape
Kaggle's Photorealistic images of the Moon's surface with ground truth rock segmentation.
BUPT-ANT-1007/MarsNet
Rock segmentation network for TWMARS Dataset
jbardelli/Petrographic-Image-Segmentation
Project aimed to segment petrographic images taken from rock samples thin sections, in order to classify rock types.
TQCAI/crack-dataset
rock crack and CT rock slice crack dataset semantic segmentation dataset 岩石裂缝与CT岩心裂缝语义分割数据集
avi9839/RockFragmentAnalysis
Watershed and local contour feature based rock image segmentation using OpenCV
amtc-rock-detectors/Mask-RCNN-Rock
Implementation of Mask-RCNN for rock segmentation as shown in our work "Detecting Rocks in Challenging Mining Environments using Convolutional Neural Networks and Ellipses as an alternative to Bounding Boxes"
LunarX-Alpha/lunar-segmentation
An implementation of PyTorch's UNet Model and SegNet Model for Image Segmentation and Large Rock Detection on Artificial Lunar Landscape Dataset that also works on Intel ® OpenVINO™
selkind/LaSeRo
Landsat Segmentation of Rock Outcrops in Antarctica
sdu2020xzh/sdu2020xzh-Automatic-Mineral-Segmentation
The mineral information and position information of each pixel in rock images is predicted using the U-Net architecture, and the mineral segmentation model is built on ResNet-101.
Ahmedemamd/Tradional_segmentation
some algorithms to segment rock textures using RGB images as input
ezefranca/Master-Exploder
Rock-Paper-Scissor game controlled by computer vision, in identification of hand gestures (hand-tracking). The proposed work is based on image segmentation and construction of a convex hull with Jarvis’s Algorithm, and determination of the pattern based on the extraction of area characteristics in the convex hull
geethika3099/DETECTION-AND-SEGMENTATION-OF-DIFFERENT-STRUCTURES-ON-PLANET-SURFACE-IMAGES
The objective of this project is to detect and segment rock images from different planet surface images
hornbya/RockPie
RockPie 1.1 - SEM image segmentation
Liyihui1/rock-fracture-intelligent
D-Linknet is a neural network model for image semantic segmentation, which is improved on the basis of the Linknet network model by adding the dilated convolution module and Resnet module suitable for small target semantic segmentation. D-Linknet was once used in the field of satellite road identification. we made some improvements, such as adjusting the convolution pooling depth and the loss function, in order to be better applied to the semantic segmentation of rock fractures.
0ddoes/LunarRockSegmentation
This includes the project files used to develop a Django Application for Lunar Rock Segmentation
Ali-7800/Iris-Rock-Segmentation
Arpankarar/image_segmentaion-traditional_ML
Segmentation of a microscopic image of rock, containing minerals and other impurities.
dragynir/DigitalRockSegmentationDocs
erikycd/Rocks-Unet
Segmentation of micro and macro structures
Fakhre-Alam-Hub/Lunar-Rock-Segmentation
Glaadiss/rock_segmentation
itsmeredhat/DETECTION-AND-SEGMENTATION-OF-PLANET-SURFACE-IMAGES
The objective of this project is to detect and segment rock images from different planet surface images.
mukesh0290/Image-Segmentation--Detection-of-salt-in-rock
Detection of salt in rock
nakhmani/Rock-Segmenter
Segmentation of rock images
nobeldang/Lunar_Segmentation_Rock_Challenge
tema7707/Rock-segmentation-test
🗻 This is my first computer vision challenge. I created a segmentation of the sky from rocks.