Research on multi dimensional feature extraction and recognition of industrial and mining solid waste images based on mask R-CNN and graph convolutional networks

Research on multi dimensional feature extraction and recognition of industrial and mining solid waste images based on mask R-CNN and graph convolutional networks

Abstract Aiming at the problems of traditional methods for multi-dimensional feature extraction of industrial and mining solid waste images, such as single feature extraction, difficult fusion, missing high-order features, weak generalization ability and low computational efficiency, an innovative s...

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Bibliographic Details
Main Authors: Shuqin Wang, Na Cheng, Yan Hu
Format: Article
Language:English
Published: Springer 2025-04-01
Series:Discover Applied Sciences
Subjects:
Feature fusion
Image analysis
Multidimensional feature extraction
Integration of high-order features
Mask R-CNN
Graph convolutional networks
Online Access:https://doi.org/10.1007/s42452-025-06763-2
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