Machine vision algorithms for mining equipment automation
Li, Yunming (2000) Machine vision algorithms for mining equipment automation. PhD thesis, Queensland University of Technology.
Impact and interest:
Citation counts are sourced monthly from and citation databases.
These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.
Citations counts from theindexing service can be viewed at the linked Google Scholar™ search.
|Item Type:||QUT Thesis (PhD)|
|Additional Information:||Presented to the School of Mechanical and Manufacturing and Medical Engineering, Queensland University of Technology.|
|Keywords:||Mining machinery Automatic control Data processing, Computer vision, Algorithms, Hough transform, mathematical morphology, object detection, rotational symmetry, edge detection, gradient operators, chain code, run-lengh code, occlusion analysis, concavity identification, T-junction, shape representation, model-based object recognition, occluded contour reconstruction, topological expression, affine transformation, motion blur, image reconstruction, image deblurring, discrete Fourier transform, pipeline image processing, inverse perspective, mining equipment, automation, mining robotics, dragline, machine vision, robustness, efficiency, pattern recognition, thesis, doctoral|
|Institution:||Queensland University of Technology|
|Copyright Owner:||Copyright Yunming Li|
|Deposited On:||22 Sep 2010 13:04|
|Last Modified:||30 Oct 2015 05:00|
Repository Staff Only: item control page