Open AccessResearch on Coal and Rock Image Recognition Based on 2DPCA Algorithm
Author(s) -
Yuanhui Xu
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/514/2/022009
Subject(s) - computation , coal , feature (linguistics) , pattern recognition (psychology) , artificial intelligence , computer science , dimension (graph theory) , image (mathematics) , coal mining , principal component analysis , algorithm , computer vision , mathematics , engineering , linguistics , philosophy , pure mathematics , waste management
The PCA algorithm in coal and rock recognition had some fundamental flaws such as large computation and low efficiency. In this paper, a coal and rock image recognition method based on 2DPCA algorithm was proposed. The experimental results showed that this method could not only reduce the dimension of the original feature, but also reduce the complicated calculation and improve the recognition accuracy effectively.