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Superpixel Image Segmentation-Based Particle Size Distribution Analysis of Fragmented Rock
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Mean particle size prediction in rock blast fragmentation using neural networks
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Efficient Graph-Based Image Segmentation
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A Survey of Restoration and Enhancement for Underwater Images
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Segmentation using superpixels: A bipartite graph partitioning approach
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A Framework for Discrete Integral Transformations I—The Pseudopolar Fourier Transform
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What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Method for Calculating Tunnel Blasting Rock Block Dimensions Based on Concavity feature Detection
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YOLOv8-ORE: An Efficient Ore Segmentation Network based on Adaptive Feature Extraction and Attention-Enhanced Spatial Fusion
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Edge detection of ore and rock on the surface of explosion pile based on improved Canny operator
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Vision-based size distribution analysis of rock fragments using multi-modal deep learning and interactive annotation
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Noise-robust self-supervised learning with frequency-bias decomposition for TBM muck particle size distribution prediction
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A novel method for predicting coarse aggregate particle size distribution based on segment anything model and machine learning
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Overall particle size distribution estimation method based on kinetic modeling and transformer prediction
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Point cloud segmentation method for rock pile particle size analysis based on edge detection and region growing
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Estimation of rock strength and integrity in TBM tunnel using rock fragment size and shape characteristics
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Size measurement of blasted rock fragments based on FRRSnet+
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Soft sensing of crusher feed particle size distribution based on electrical signals and multi-feature data-driven models
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Enhanced U-Net model for rock pile segmentation and particle size analysis
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TBM rock fragmentation classification using an adaptive spot denoising and contour-texture decomposition attention-based method
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A method of blasted rock image segmentation based on improved watershed algorithm
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Research on anti-clogging of ore conveyor belt with static image based on improved Fast-SCNN and U-Net
inferred← citeshttps://doi.org/10.1038/s41598-025-18474-0openalex-snapshot
Large ore detection in blasting piles using LODM
inferred← citeshttps://doi.org/10.1038/s41598-026-38799-8openalex-snapshot
Research on a detection method for blast rock fragments based on concavity-based pre-segmentation
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Blasting ore size detection based on efficient dehazing network and multi-dimensional feature fusion
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Smart Phone-Assisted Rapid Aggregate Size Analysis Technology
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Electrochemical Intelligent Recognition of Mineral Materials Based on Superpixel Image Segmentation
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Study on segmentation of blasting fragment images from open-pit mine based on U-CARFnet
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Multi-feature Fusion-based Segmentation Method for 3D Laser Point Clouds of Open-pit Mine Muck Piles
inferred← citeshttps://doi.org/10.3390/met16101068openalex-snapshot
Mechanism Analysis and Control Strategy of Pore Structure Evolution in Granular Ore Media During Heap Leaching Process
inferred← citeshttps://doi.org/10.3390/min14070654openalex-snapshot
Identification of Rock Fragments after Blasting by Using Deep Learning-Based Segment Anything Model
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Evaluation of Pore Structure Characteristics and Permeability of In Situ-Blasted Leachable Ore in Stopes Under Varying Particle-Size Gradations
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Review of deep learning approaches in solving rock fragmentation problems
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